Spike Neural Network Based-Face Recognition

It is often useful to have a machine that performs the pattern recognition. In particular, machines which can read face images are very cost, effectively. A machine that reads passenger passports can process more passports than a human being in the same time (Hsu,2002). This kind of application saves time and money, and eliminates the requirement that a human performs such as the repetitive task. Face recognition can be classified into identification and verification. Face identification is the process of determining which registered person provides a given utterance. Face verification is, on the other hand, the process of accepting or rejecting the identity claim of a person (Carrillo,2003; Hsu,2002; Mitchell,1997) . The technologies of face recognition , identification and verification, each has its own advantages and disadvantages and may requires different treatments and techniques. The choice of which technology to use is the application-specific (Adjoudj,2002; Beymer,1996; Carrillo,2003; Rowley,1999).