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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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.

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Prof. Roshan P. Helonde

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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

PROJECT VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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