A Method for Two Face Detection and Comparison using Image Processing with MATLAB Techniques

This Research paper designing for two photos face similarity comparison method, first we have to capture camera picture for 13 megapixels of two faces Image. It should be set by Photoshop software from size between 1.5MB to 1.7 MB. The all sample Images to attach in MATLAB software and cerate joint Histogram graph for each Image. Then we get scaling (X, Y) coordinate for each joint Histogram minimum and maximum peak point. Then it should be stored in table format in Ms-Access before the table creation then we used to image processing technique in MATLAB .Then we create coddling sections to compared (Xi,Yi) and (Xj,Yj) where (i = 1,2,3.?.) and (j = 1,2,3,4?.) values. If Xi = Xj and Yi = Yj for each point if both point value are same then output will be ?similar image ? otherwise ? images are not same ?

An Extensive Review on Spectral Imaging in Biometric Systems: Challenges and Advancements

Spectral imaging has recently gained traction for face recognition in biometric systems. We investigate the merits of spectral imaging for face recognition and the current challenges that hamper the widespread deployment of spectral sensors for face recognition. The reliability of conventional face recognition systems operating in the visible range is compromised by illumination changes, pose variations and spoof attacks. Recent works have reaped the benefits of spectral imaging to counter these limitations in surveillance activities (defence, airport security checks, etc.). However, the implementation of this technology for biometrics, is still in its infancy due to multiple reasons. We present an overview of the existing work in the domain of spectral imaging for face recognition, different types of modalities and their assessment, availability of public databases for sake of reproducible research as well as evaluation of algorithms, and recent advancements in the field, such as, the use of deep learning-based methods for recognizing faces from spectral images