Signature recognition using vector quantization
Hemant B. Kekre, Vinayak Ashok Bharadi, Tanuja Sarode · 2010
Handwritten Signatures are one of the widely used biometric traits for document authentication as well as human authorization. Various techniques have been implemented for Automatic Signature Recognition. In this paper we discuss the application of vector quantization to the problem of signature recognition. Vector quantization based methodology is used here to detect intra and inter-class variations in signatures. Here we discuss a method for the codebook generation; this method is fast and simple. We use the codebook to generate a codevector histogram specific to the signature template. The spatial moments related to the codevectors are also calculated. These parameters are used to classify the signature. Feasibility of this technique for signature recognition is discussed in his paper.