Face recognition based on edge detection algorithm with hardware interfacing

The automatic recognition of human faces presents a significant challenge to the pattern recognition research community, human faces are very similar in structure with minor differences from person to person. They are actually within one class of “human face”. Furthermore, lighting condition changes, facial expressions, and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis. This paper proposed a novel concept, “faces can be recognized using line edge detection”. A face prefiltering technique is proposed to speed up the searching process. It is a very encouraging finding that the proposed face recognition technique has performed superior to the most of the existing comparison experiments.

Computerized human face recognition has been an active research area for the last 20 years. It has many practical applications, such as bankcard identification, aces  control, mug shots searching, security monitoring, and surveillance systems. Face recognition is used to identify one or more persons from still images or a video image sequence of a scene by comparing input images with faces stored in a database. It is a biometric system that employs automated methods to verity or recognize the identity of person based on his/her physiological characteristic. In general, a biometric identification system makes use of either physiological characteristics or behavior patterns to identify a person. Because of human inherent protectiveness of his/her eyes, some people are reluctant to use eye identification systems. Face recognition has the benefit of being a passive,
nonintrusive system to verify personal identity in a “natural” and friendly way.