Hand Identification Using Fuzzy-Neural
Biometrics is refers to the automatic identification of a living person based on physiological or behavioral characteristics. Hand identification involves an analysis and measures of the features of the hand. In this research work, we have two steps. The first step is enrollment step and the second is identification step.In the enrollment step, the stages image capture, image binarization, edge detection and feature extraction were implemented. In the image capture, the user has to put his hand in the scanner with fingers spread freely without using any pegs.