Dynamic signature using time based vector quantization by Kekre’s median codebook generation algorithm

Dynamic Signature Recognition is one of the highly accurate biometric traits. We capture live signature of the person hence it is possible to have dynamic characteristics of signature for matching purpose. The signature captured by digitizer gives information about dynamic nature of signature and pressure applied while signing. We propose use of clustering by Vector Quantization for Matching of Dynamic Signature. Signature points are clustered on Time axis and codebook is generated, The technique is fast and gives good accuracy.

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