Automatic Signature Recognition and Verification Using Principal Components Analysis

The fact that the signature is widely used as a means of personal verification emphasizes the need for an automatic recognition system. Recognition can be performed either offline or online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. In this paper we present a method for Offline recognition and verification signatures using Principal components analysis. The proposed method consists of image prepossessing , feature extraction, evaluate the Principal components analysis for the extracted feature and the identification step. The identification step contain tow process recognition and verification. In the recognition process we use the K nearest-neighbours classifier and in the verification process we use the neural network classifier.