Indian Currency Recognition Using Image Processing Python Project With Source Code | IEEE Based Projects

ABSTRACT

           The appearance of the currency is part of this development and it is affected directly, where there is exploited in incorrect form by copying the currency in a manner similar to the reality. Therefore, it became necessary to implement a proposal for being a suitable as solution not inconsistent with the different cultures, time and place. This clear through add the watermarks inside currency, which is difficult to be copied. At the same time, this watermarks may be visible to the naked eye so can easily inferred or it is invisible. However the high resolution imaging devices can copy these additions. In this research, we have proposed a system to distinguish the currencies by the program that working a submission inferred to the watermark by feature extraction determined the type of currency. In addition to, it determined category of the currency. Benefit of it, is reducing as much as possible the spread of counterfeit currency and this system can be used by any user wants to make sure of the currency.

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Matlab Code Leukemia Blood Cancer Detection Using Machine Learning Project Source Code | Final Year Project | IEEE Based Projects

ABSTRACT

             Leukemia Blood cancer is the most prevalent and it is very much dangerous among all type of cancers. Early detection of blood cancer has the potential to reduce mortality and morbidity. There are many diagnostic technologies and tests to diagnose blood cancer. However many of these tests are extremely complex and subjective and depend heavily on the experience of the technician. To obviate these problems, image processing techniques is use in this study as promising modalities for detection of Leukemia blood cancer. The accuracy rate of the diagnosis of blood cancer by using image processing will be yield a slightly higher rate of accuracy then other traditional methods and will reduce the effort and time. We first discuss the preliminary of cell biology required to proceed to implement our proposed method. This project presents a new automated approach for blood Cancer detection and analysis from a given photograph of patient’s cancer affected blood sample. The proposed method is using image improvement, image segmentation for segmenting the different cells of blood, edge detection for detecting the boundary, size, and shape of the cells and finally Clustering for final decision of blood cancer based on the number of different cells.

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Python Code RSA Image Encryption and Decryption Project Source Code | Final Year Projects | IEEE Based Projects

ABSTRACT

            Image security is an utmost concern in the web attacks are become more serious. The Image encryption and decryption has applications in internet communication, military communication, medical imaging, multimedia systems, tele-medicine, etc. To make the data secure from various attacks the data must be encrypted before it is transmitting. Absolute protection is a difficult issue to maintain the confidentiality of images through their transmission over open channels such as internet or networks and is a major concern in the media, so image Cryptography becomes an area of attraction and interest of research in the field of information security. The project offer proposed system that provides a special kinds of image Encryption image security, Cryptography using RSA algorithm for encrypted images to extract using RSA algorithm. This approach provides high security and it will be suitable for secured transmission of images over the networks or Internet.

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Matlab Code Key Based Video Steganography Project Source Code | IEEE Based Project | Final Year Projects

ABSTRACT

            Information security has become the area of concern as a result of widespread use of communication medium over the internet. This project focuses on the data security approach when combined with encryption and steganography techniques for secret communication by hiding it inside the multimedia files. The high results are achieved by providing the security to data before transmitting it over the internet. The files such as images, audio, video contains collection of bits that can be further translated into images, audio and video. The files composed of insignificant bits or unused areas which can be used for overwriting of other data. This Project explains the proposed algorithm using video steganography for enhancing data security. The Steganography, Cryptography and Digital Watermarking techniques can be used to obtain security and privacy of data. The steganography is the art of hiding data inside another data such as cover medium by applying different steganography techniques. While cryptography results in making the data human unreadable form called as cipher thus cryptography is scrambling of messages. Whereas the steganography results in exploitation of human awareness so it remains unobserved and undetected or intact. It is possible to use all file medium, digital data, or files as a cover medium in steganography. Generally steganography technique is applied where the cryptography is ineffective.

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Python Code Visible Image Watermarking Project With Source Code | Final Year Project

ABSTRACT

           Digital watermarking is a technology for embedding various types of information in digital content. In general, information for protecting copyrights and proving the validity of data is embedded as a watermark. A digital watermark is a digital signal or pattern inserted into digital content. The digital content could be a still image, an audio clip, a video clip, a text document, or some form of digital data that the creator or owner would like to protect. The main purpose of the watermark is to identify who the owner of the digital data is, but it can also identify the intended recipient. The Image watermarking is most popular method for copyright protection by discrete Wavelet Transform which performs two level decomposition of original cover image and watermark image is embedded in lowest level sub band of cover image. Inverse Discrete Wavelet Transform is used to recover original image from watermarked image.

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Python Code DWT Based Image Steganography Project Source Code | IEEE Based Projects | Final Year Projects

ABSTRACT

            Steganography is the science and art of secret communication between two sides that attempt to hide the content of the message. It is the science of embedding information into the cover image without causing a loss in the cover image after embedding. Steganography is the art and technology of writing hidden messages in such a manner that no person, apart from the sender and supposed recipient, suspects the lifestyles of the message. It is gaining huge attention these days as it does now not attract attention to its information's existence. In this project the secret message is embedded using DWT technique is applied. Moreover, Discrete Wavelet Transform (DWT) is used to transform the image into the frequency domain.  DWT algorithm is implemented in frequency domain in which the stego-image is transformed from spatial domain to the frequency domain and the payload bits are inserted into the frequency components of the cover image.

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Python Code Image Enhancement Using Histogram Equalization Project with Source Code

ABSTRACT

                Digital image enhancement is one of the most important image processing technology which is necessary to improve the visual appearance of the image or to provide a better transform representation for future automated image processing such as image analysis, detection, segmentation and recognition. Many images have very low dynamic range of the intensity values due to insufficient illumination and therefore need to be processed before being displayed. Large number of techniques have focused on the enhancement of gray level images in the spatial domain. These methods include histogram equalization, gamma correction, high pass filtering, low pass filtering, homomorphic filtering, etc. Image enhancement techniques are of particular interest in photography, satellite imagery, medical applications and display devices. Producing visually natural is required for many important areas such as vision, remote sensing, dynamic scene analysis, autonomous navigation, and biomedical image analysis.

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PYTHON PROJECTS WITH SOURCE CODE

>> Python Code DWT Based Image Steganography Project Source Code | IEEE Based Projects | Final Year Projects

>> Image Compression Using Python Project With Source Code || Python Code for Image Compression

>> Python Code for Audio Steganography For Secret Message Hiding In Audio

>> Python Code Image Watermarking Project Source Code | Final Year Projects | IEEE Based Projects

>> Python Code for Real Time Face Recognition Using Camera Full Project Source Code

>> Traffic Sign Recognition Using Deep Learning Python Project With Source Code

>> Image Steganography Using Python Project Source Code

>> Python Code Image Enhancement Using Histogram Equalization Project with Source Code

>> Employee Attendance Monitoring from Face Recognition Using Python OpenCV Source Code

>> Face Mask Detection Using Deep Learning Python Project With Source Code

>> RSA Based Message Encryption and Decryption Using Python Source Code

>> Real Time Face Mask Detection From Camera Using Deep Learning Python Project Source Code

>> Python Code On Barcode Recognition using Image Processing

>> Python Code Image Steganography for Hiding Message in Image Full Project Source Code

>> LSB Based Image Steganography Using Python Source Code / Secret Message Hiding In Image Using Python Project Code

>> Python Code for Digit Recognition using Deep Learning Full Project Source Code

>> OMR Answer Sheet Evaluation Using Python Project With Source Code

>> Social Distance Detection & Alerting System (Covid19) Python Project With Source Code

>> Image Steganography For Hiding Secret Image In Image Using Python Source Code

>> Age and Gender Recognition using Convolutional Neural Network CNN full Python Project Source Code

>> Python Code for Image Steganography for Hiding Message in Image Using Python Project

>> Image Encryption Decryption Using AES Algorithm Python Project Source Code

>> Face Recognition Based Attendance Maintenance Using Python OpenCV Source Code

>> Message Encryption Decryption Using AES Algorithm Python Project Source Code

>> RSA Encryption Decryption of Message using Python Source Code / Encryption Using RSA Algorithm

>> Real Time Age and Gender Recognition using Camera Python Project Source Code || Age and Gender Recognition using Deep Learning

>> Data Encryption and Decryption Using Python Source Code / Cryptography Using Python Source Code

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Prof. Roshan P. Helonde

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Email: roshanphelonde@rediffmail.com

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Matlab Code Breast Cancer Detection Using Neural Network Project Source Code | IEEE Based Project

ABSTRACT

            The World Health Organization's International agency for Research on Cancer in Lyon, France, estimates that more than 150 000 women worldwide die of breast cancer each year. The breast cancer is one among the top three cancers in American women. In United States, the American Cancer Society estimates that, 215 990 new cases of breast carcinoma has been diagnosed, in 2004. It is the leading cause of death due to cancer in women under the age of 65 . In India, breast cancer accounts for 23% of all the female cancers followed by cervical cancers (17.5%) in metropolitan cities such as Mumbai, Calcutta, and Bangalore. However, cervical cancer is still number one in rural India. Although the incidence is lower in India than in the developed countries, the burden of breast cancer in India is alarming. Organ chlorines are considered a possible cause for hormone-dependent cancers . Detection of early and subtle signs of breast cancer requires high-quality images and skilled mammographic interpretation. In order to detect early onset of cancers in breast screening, it is essential to have high-quality images. Radiologists reading mammograms should be trained in the recognition of the signs of early onset of, which may be subtle and may not show typical malignant features. Mammography screening programs have shown to be effective in decreasing breast cancer mortality through the detection and treatment of early onset of breast cancers.

PROJECT OUTPUT

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Prof. Roshan P. Helonde

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Email: roshanphelonde@rediffmail.com

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Python Code Image Watermarking Project Source Code | Final Year Projects | IEEE Based Projects

 ABSTRACT

        Digital Image watermarking is a technology for embedding various types of information in digital content. In general, information for protecting copyrights and proving the validity of data is embedded as a watermark. A digital watermark is a digital signal or pattern inserted into digital content. The digital content could be a still image, an audio clip, a video clip, a text document, or some form of digital data that the creator or owner would like to protect. The main purpose of the watermark is to identify who the owner of the digital data is, but it can also identify the intended recipient. The Image watermarking is most popular method for copyright protection by discrete wavelet transform which performs two level decomposition of original cover image and watermark image is embedded in lowest level sub band of cover image.

PROJECT OUTPUT

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Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Matlab Code for Hiding Audio In Audio || Audio Steganography Using Matlab Source Code

  ABSTRACT

             Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to Extract it. It is the process of embedding secret data in the cover Audio without significant changes to the cover audio. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. In this project we perform Audio Steganography for Hiding Secret audio In Cover audio using matlab.

PROJECT OUTPUT

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Prof. Roshan P. Helonde

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Matalb Code for Hiding Audio In Video Using Matlab Source Code || Video Steganography Using Matlab

 ABSTRACT

             Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to Extract it. It is the process of embedding secret audio file in the cover Video file without significant changes to the cover video. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. In this project we perform Video Steganography for Hiding Secret Audio In cover video using matlab.

PROJECT OUTPUT

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Prof. Roshan P. Helonde

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WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Matlab Code for Lossless Image Compression Using Huffman Algorithm

 ABSTRACT

            The lossless compression is that allows the original data to be perfectly reconstructed from the compressed data. Lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that probable. The main objective of image compression is to decrease the redundancy of the image data which helps in increasing the capacity of storage and efficient transmission. Image compression aids in decreasing the size in bytes of a digital image without degrading the quality of the image to an undesirable level. Image compression plays an important role in computer storage and transmission. The purpose of data compression is that we can reduce the size of data to save storage and reduce time for transmission. Image compression is a result of applying data compression to the digital image.

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Cryptography Using Python Source Code || Data Encryption and Decryption Using Python Source Code

  ABSTRACT

            Message security is an utmost concern in the web attacks are become more serious. The Message  encryption and decryption has applications in internet communication, military communication, medical imaging, multimedia systems, tele-medicine, etc. To make the data secure from various attacks the data must be encrypted before it is transmitting. Absolute protection is a difficult issue to maintain the confidentiality of Message through their transmission over open channels such as internet or networks and is a major concern in the media, so Data Cryptography becomes an area of attraction and interest of research in the field of information security. The project offer proposed system that provides a special kinds of image Encryption data security, Cryptography for encrypted Message to extract. This approach provides high security and it will be suitable for secured transmission of data over the networks or Internet.

PROJECT OUTPUT 

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Prof. Roshan P. Helonde

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Matlab Code for Amplitude Modulation

 Program:

clc;

clear all;

t = 0:0.001:1;

vm = input('Enter the amplitude of message signal = ');

vc = input('Enter the amplitude of carrier signal = ');

fm = input('Enter the message frequency = ');

fc = input('Enter the carrier frequency = ');

m = vm/vc;

sm = vm.*sin(2*pi*fm*t);

subplot(3,1,1);

plot(t,sm);

xlabel('Time ---->');

ylabel('Amplitude ---->');

title('Message Signal');

grid on;

sc = vc.*sin(2*pi*fc*t);

subplot(3,1,2);

plot(t,sc);

xlabel('Time ---->');

ylabel('Amplitude ---->');

title('Carrier Signal');

grid on;

y = (vm+m*vm.*sin(2*pi*fm*t)).*sin(2*pi*fc*t);

subplot(3,1,3);

plot(t,y);

xlabel('Time ---->');

ylabel('Amplitude ---->');

title('AM Signal');

grid on;

Output:

Enter the amplitude of message signal = 5

Enter the amplitude of carrier signal = 10

Enter the message frequency = 10

Enter the carrier frequency = 100

Output Waveforms:

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Matlab Code for Phase Modulation

 Program:

clc;

clear all;

t = 0:0.001:1;

vm = input('Enter the amplitude of message signal = ');

vc = input('Enter the amplitude of carrier signal = ');

fm = input('Enter the message frequency = ');

fc = input('Enter the carrier frequency = ');

m = input('Enter modulation index = ');

sm = vm*sin(2*pi*fm*t);

subplot(3,1,1);

plot(t,sm);

xlabel('Time ---->');

ylabel('Amplitude ---->');

title('Message Signal');

grid on;

sc = vc*sin(2*pi*fc*t);

subplot(3,1,2);

plot(t,sc);

xlabel('Time ---->');

ylabel('Amplitude ---->');

title('Carrier Signal');

grid on;

y = vc*sin(2*pi*fc*t+m.*sin(2*pi*fm*t));

subplot(3,1,3);

plot(t,y);

xlabel('Time ---->');

ylabel('Amplitude ---->');

title('PM Wave');

grid on;

Output:

Enter the amplitude of message signal = 5

Enter the amplitude of carrier signal = 5

Enter the message frequency = 10

Enter the carrier frequency = 100

Enter modulation index = 4

Output:

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Matlab Code for Pulse Code Modulation

 Program:

clc;

clear all;

t = 0:0.0005:20;

partition = -1:0.1:1;

codebook = -1:0.1:1.1;

x = sin(t);

[index,quants] = quantiz(x,partition,codebook);

subplot(3,1,1);

plot(t,x);

title('Message Signal');

xlabel('Time(s) ---->')

ylabel('Amplitude(V) ---->')

subplot(3,1,2);

plot(t,quants);

title('Quantized Signal');

xlabel('Time(s) ---->')

ylabel('Amplitude(V) ---->')

y = uencode(quants,3);

subplot(3,1,3);

plot(t,y);

title('PCM Signal');

xlabel('Time(s) ---->');

ylabel('Amplitude(V) ---->')

Output: 

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Matlab Project Topic List for Final Year Submission

 RECONSTRUCTION OF UNDERWATER IMAGE BY BISPECTRUM

DESIGN AND ANALYSIS OF BIT INTERLEAVED CODED SPACE-TIME MODULATION

CODING SCHEMES APPLIED TO PEAK-TO-AVERAGE POWER RATIO (PAPR) REDUCTION IN OFDM SYSTEMS

DETECTING DOMINANT MOTIONS IN DENSE CROWDS

A REAL-TIME ADAPTIVE LEARNING METHOD FOR DRIVER EYE DETECTION

DROP PARAMETER ESTIMATION FROM UNDERWATER NOISE PRODUCED BY RAINDROP IMPACT

EFFICIENT SPATIAL COVARIANCE ESTIMATION FOR ASYNCHRONOUS CO-CHANNEL INTERFERENCE SUPPRESSION IN MIMO-OFDM SYSTEMS

FAST AND EFFICIENT QOS-GUARANTEED ADAPTIVE TRANSMISSION ALGORITHM IN THE MOBILE WIMAX SYSTEM

DISCOV: A FRAMEWORK FOR DISCOVERING OBJECTS IN VIDEO

FUZZY LOGIC BASED EDGE DETECTION

FUZZY BASED PID CONTROLLER USING MATLAB FOR TRANSPORTATION APPLICATION

APPLICATION OF SUPPORT VECTOR MACHINE AND GENETIC ALGORITHM FOR IMPROVED BLOOD CELL RECOGNITION

DESIGN OF A DISTRIBUTED TRAFFIC MONITORING SYSTEM AND ALGORITHM BASED ON WEBCAMERA

AN IMPROVING MODEL WATERMARKING WITH IRIS BIOMETRIC CODE

AN EFFICIENT HARDWARE ARCHITECTURE FOR MULTIMEDIA ENCRYPTION AND AUTHENTICATION USING THE DISCRETE WAVELET TRANSFORM

A NEW STATISTICAL DETECTOR FOR DWT-BASED ADDITIVE IMAGE WATERMARKING USING THE GAUSS–HERMITE EXPANSION

A HISTOGRAM MODIFICATION FRAMEWORK AND ITS APPLICATION FOR IMAGE CONTRAST ENHANCEMENT

A MULTICODE APPROACH FOR HIGH DATA RATE UWB SYSTEM DESIGN

ULTRA-WIDE-BAND PROPAGATION CHANNELS

PERFORMANCE OF CDMA

OBJECT RECOGNITION USING EUCLIDEAN DISTANCE WITH KNN ALGORITHM

ROBUST IMAGE SEGMENTATION ALGORITHM USING FUZZY

PERSONAL AUTHENTICATION BASED ON IRIS TEXTURE ANALYSIS

A TOKEN-BASED SCHEDULING SCHEME FOR WLANS SUPPORTING VOICEDATA TRAFFIC AND ITS PERFORMANCE ANALYSIS

ADAPTIVE RADIO RESOURCE ALLOCATION FOR DOWNLINK OFDMASDMA SYSTEMS WITH MULTIMEDIA TRAFFIC

COOPERATIVE MIMO-BEAMFORMING FOR MULTIUSER RELAY NETWORKS

DUCHA A NEW DUAL-CHANNEL MAC PROTOCOL FOR MULTIHOP AD HOC NETWORKS

EFFICIENT POWER ALLOCATION FOR CODED OFDM SYSTEMS

MCMAC A PARALLEL RENDEZVOUS MULTI-CHANNEL MAC PROTOCOL

POWER ALLOCATION FOR TWO DIFFERENT TRAFFICS IN LAYERED MIMO SYSTEMS

SEMISOFT HANDOVER GAIN ANALYSIS OVEROFDM-BASED BROADBAND SYSTEMS

SEQUENTIAL DETECTION FOR MULTIUSER MIMO CDMA SYSTEMS WITH SINGLE SPREADING CODE PER USER

A MEDIUM ACCESS CONTROL SCHEME FOR TDD-CDMA CELLULAR NETWORKS WITH TWO-HOP RELAY ARCHITECTURE

A NEW PARAMETER FOR UWB INDOOR CHANNEL PROFILE IDENTIFICATION

VARIANCE-REDUCED PARTIAL PARALLEL INTERFERENCE CANCELLATION FOR MC-CDMA UPLINK SYSTEMS

MEASUREMENT BASED CHANNEL-ADAPTIVE VIDEO STREAMING FOR MOBILE DEVICES OVER MOBILE WIMAX

IEEE 802.16/WIMAX SECURITY

BIOMETRICS SECURITY IN WIMAX

DISTRIBUTED SUPPLY CHAIN MANAGEMENT USING ANT COLONY OPTIMIZATION

A CLOSED-FORM BLIND CFO ESTIMATOR BASED ON FREQUENCY ANALYSIS FOR OFDM SYSTEMS

BANDWIDTH EXCHANGE: AN ENERGY CONSERVING INCENTIVE MECHANISM FOR COOPERATION

EFFICIENT POWER ALLOCATION FOR CODED OFDM SYSTEMS

PERFORMANCE ANALYSIS OF DISTRIBUTED DECISION FUSION USING A CENSORING SCHEME IN WIRELESS SENSOR NETWORKS

NEURAL NETWORK BASED ENERGY EFFICIENT CLUSTERING AND ROUTING IN WIRELESS SENSOR NETWORKS

PERFORMANCE ANALYSIS OF MULTI-CARRIER DS-CDMA WIRELESS COMMUNICATION SYSTEM

SPEECH ENHANCEMENT USING HARMONIC EMPHASIS AND ADAPTIVE COMB FILTERING

A FAULT TOLERANT COMMUNICATION ARCHITECTURE SUPPORTING CRITICAL MONITORING WITH WIRELESS SENSOR NETWORKS

COOPERATIVE SENSING FOR PRIMARY DETECTION IN COGNITIVE RADIO

AUDIO CODING USING A PSYCHOACOUSTIC PRE- AND POST-FILTER

TIME-DOMAIN SIGNAL DETECTION BASED ON SECOND-ORDER STATISTICS FOR MIMO-OFDM SYSTEMS

·      A Hybrid Time Divisioning Scheme for Power Allocation in DMT-Based DSL Systems

·      A New Dual-Channel Mac Protocol for Multihop Ad Hoc Networks

·      A Performance Study of Mobile Handoff Delay in IEEE 802.11-Based Wireless Mesh Networks

·      Adaptive Routing in Dynamic Ad Hoc Networks

·      Analysis of IEEE 802.11e for Delay Sensitive Traffic In Wireless Lans

·         •

·      Backup Path Set Selection in Ad Hoc Wireless Network using Link Expiration Time

·         •

·      Call Admission Control Optimization in Wimax Networks

·         •

·      Code Shift Keying Impulse Modulation for Uwb Communications

·         •

·      Contention-Based Qos Mac Mechanisms for Vbr Voip In Ieee 802.11e

·         •

·      A Medium Access Control Scheme for Tdd-Cdma Cellular Networks With Two-Hop Relay

·      Architecture

·         •

·      A New Parameter for Uwb Indoor Channel Profile Identification

·         •

·      Novel Channel Interference Reduction In Optical Synchronous Fsk-Cdma Network using a

·      Data-Free Reference

·         •

·      Performance Improvement in Wireless Networks using Cross-Layer Arq

·         •

·      Performance of Optical Burst Switched Networks for Grid Applications

·         •

·      Power Allocation and Scheduling for Ultra-Wideband Wireless

·         •

·      Networks

·         •

·      An Efficient Data Extraction Mechanism for Mining Association Rules From Wireless Sensor

·      Networks

·         •

·      An FPGA-Based Architecture for Real Time Image Feature Extraction

·         •

·      An Improving Model Watermarking with Iris Biometric Code

·         •

·      Automatic Recognition of Exudative Maculopathy using Fuzzy Cmeans Clustering and

·      Neural Networks

·         •

·      Reconstruction of Underwater Image by Bispectrum

·         •

·      Hierarchical Contour Matching for Dental X-Ray Radiographs

·         •

·      Robust Image Watermarking Based On Multiband Wavelets and Empirical Mode

·      Decomposition

·         •

·      Image Segmentation using Iterative Watersheding Plus Ridge Detection

·         •

·      Real-Time System for Monitoring Driver Vigilance

·         •

·      Robust Dwt-Svd Domain Image Watermarking:Embedding Data in all Frequencies

·         •

·      Optimized Software Implementation of A Full-Rate IEEE 802.11a Compliant Digital Base band

·      Transmitter on a Digital Signal Processor

·         •

·      Active Noise Cancellation with a Fuzzy Adaptive Filtered-X Algorithm

·         •

·      Design and Analysis of Bit Interleaved Coded Space-Time Modulation

·         •

·      Non-Symmetric Decompanding for Improved Performance of Companded ofdm Systems

·         •

·      Implementation of IEEE 802.11 a Wlan Baseband Processor

·         •

·      Signal Adaptive Subband Decomposition for Adaptive Noise Cancellation

·         •

·      A Performance Study of Mobile Handoff Delay in IEEE 802.11-Based Wireless Mesh Networks

·         •

·      Analysis of IEEE 802.11e for Delay Sensitive Traffic in Wireless Lans

·         •

·      Backup Path Set Selection in Ad Hoc Wireless Network using Link Expiration Time

·         •

·      Performance Improvement in Wireless Networks using Cross-Layer ARQ

·         •

·      Fingerprint Recognition System for FingerCode based

·         •

·      Face Recognition System

·         •

·      Speech Recognition System for isolated words

·         •

·      Recursive Gabor Filtering for 1D and 2D signals

·         •

·      Photorefractive Simulator System for calculating the vector space-charge field induced by

      the Photorefractive effect.

DCT-based Watermarking for grayscale images

•

Wavelet-based Watermarking grayscale images

•

Iris Recognition System

•

Speaker Recognition System

•

Adaptive Equalizer

•

Advance Digital Signal Processing Graphics Compression

•

Audio Signal Processing

•

Channel Tracking using using Kalman Filter

•

Deriving Intrinsic Images from Image Sequences

•

Digit Recognition

•

Effect of equalization on a QAM based modulation scheme

•

Gesture Recognition

•

High Performance Implementation of MPEG-1 Layer 3 Audio

•

Human Hearing Threshold from EEG Signals using Neural Network

•

Image and Sound Compression using Wavelet

•

JPEG, motion compensation, MPEG-1, MPEG-2

•

License plate Recognition / Number Plate recognition

•

Power Spectrum Estimation Periodogram & Modified Periodogram

•

Quadrature Amplitude Modulation (M-QAM Implementation)

•

Recognition of Brain Tissues & Coloring of Magnetic Resonance Images

•

Coding of stereoscopic images - wavelet domain techniques

•

Compression, Predictive, Transform, Quantization

•

Car Thefts Detection

•

Content-Based Image Retrieval

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C program to display the following pattern of numbers

 1

1    2

1    2    3

1    2    3    4

1    2    3    4    5

1    2    3    4    5    6

1    2    3    4    5    6    7

Program code

#include <stdio.h>

#include <conio.h>

void main()

{

int inner, outer, rows=1;

clrscr();

printf(“How many rows do you want to see? \n”);

scanf(“%d”, &rows);

printf(“The pattern is displayed below.\n”);

for (outer=1;outer<=rows;outer++)

{

for (inner=1;inner<=outer;inner++)

printf(“%d\t”,inner);

printf(“\n\n”);

}

getch();

}

Example of output

How many rows do you want to see?

7

The pattern is displayed below.

1

1    2

1    2    3

1    2    3    4

1    2    3    4    5

1    2    3    4    5    6

1    2    3    4    5    6    7

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C program to display the following pattern

 *

*    *

*    *    *

*    *    *    *

*    *    *    *    *

*    *    *    *    *    *

*    *    *    *    *    *    *

Program code

#include <stdio.h>

#include <conio.h>

void main()

{

int inner, outer, rows=1;

clrscr();

printf(“How many rows do you want to see? \n”);

scanf(“%d”, &rows);

printf(“The pattern is displayed below.\n”);

for (outer=1;outer<=rows;outer++)

{

for (inner=1;inner<=outer;inner++)

printf(“*\t”);

printf(“\n\n”);

}

getch();

}

Example of output

How many rows do you want to see?

7

The pattern is displayed below.

*

*    *

*    *    *

*    *    *    *

*    *    *    *    *

*    *    *    *    *    *

*    *    *    *    *    *    *

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