Off-line handwritten signature recognition based on genetic algorithm and euclidean distance

Biometric authentication is a technology that has become significant in the high level of personal identity security. This paper provides signature recognition system. static system (SSRS). We have classified two ways. The first method uses genetic algorithm (GA), considering chromosome with 35 genes, and each feature gene. With applying processes GA between chromosomes formation generations sequence until we reach optimal solution by finding closest to enters In second method, calculating Euclidean Distance query signatures stored database. confirmed threshold considered desired goal. database 25 handwritten (15 for training five original signatures, fake written other people testing), so 500 signatures. 94% discrimination rate, (GRS) was able access solutions, (91% rate) euclidean (ERS) done. application MATLAB.