Multiple biometric authentication system

Palm print identification and confirming the identity of a person based on the way he walks are fairly new area in computer science compared with more traditional biometric methods and this makes it possible to authenticate the person in a kinetic fashion as he walks without requiring the attention from the person himself. The gait data is collected using a device that can be attached to a person's leg, where it detects the leg's movement in horizontal, vertical and sideway direction as the person walks. These data are used in an attempt to authenticating the walking person. For palm print recognition, a simple methodology of acquiring an image for palm using camera is done. The captured image is cropped to obtain the region of interest (ROI). The features absolute co-efficient, horizontal coefficient, vertical co-efficient and diagonal co-efficient are extracted from the region of interest. These features are extracted using six level Haar transform.