off-line signature recognition using morphological pixel variance analysis
Handwritten signatures are one of the oldest biometric traits for human authorization and authentication of documents. Majority of commercial application area deal with static form of signature. In this paper we present a method for off-line signature recognition. We have used morphological dilation on signature template for measurement of the pixel variance and hence the inter class and intra class variations in the signature. The proposed feature extraction mechanism is fast enough so that it can be applied for on-line signature verification also.
morphology biometrics static signature recognition