The Software Approach to Measure the Quality of Vein Images for Fake Detection in Online Attendance System
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A biometric system is a computer system which is used to identify the person on their behavioural and physiological characteristic like fingerprint, face, iris, key-stroke, signature, voice, vein, etc. But now a day’s biometric systems are attacked by using fake biometrics. With the great convenience of computer graphics the image can be easily altered. Many fake images are produced whose content is affected. Thus, the images cannot be judged whether they are real or fake, in this, a fake detection uses singular value decomposition (SVD) as a classifier to make a binary decision on whether an image is fake or real. A typical biometric system consists of detecting, feature extraction, and identical modules. This work is an improvements process to an existence method to detect fake image using SVD. The experimental results prove the effectiveness of this algorithm to detect any small changes in image even with one dot of real image. This introduces three biometric techniques which are Vein recognition, face recognition (Multi Biometric System) and also concentrate on online attendance management.