Online identity verification system based on palmprint

A biometric verification system based on palmprint recognition works at the real environments is presented in this work. This system initially detects all objects entered in the view of a CCD camera which is settled into hand placement platform. The detected objects are classified as hand objects or not by applying the processes on the image sequences acquired from the camera. In the case of hand object, a palm area as region of interest (ROI) is then selected from the hand regions. The resolution and gray levels of the ROI are also normalized to achieve higher accuracy. In the pattern recognition stage, a gabor-palm image is first created by applying Gabor-based discrete transform, then two different feature extraction approaches (both PCA and KPCA) and two classifications (NN based WED, SVM) methods are simultaneously applied onto the gabor-palmprint images, respectively. In this system, the entrance of a PC room is controlled by authorising of the users whose are successfully verified. The enrollment and verification processes in the presented system are fully performed automatically. The experimental results performed on the real environments show that the proposed biometric system can be easily employed with highly reliable performances in the real applications.