A Survey on Offline Hand Written Signature Verification
Nandini K H, Mallegowda M, Anita Kanavalli
Automatic signature verification is one of the major research areas in biometrics. It deals with establishing the authenticity of a person based on his/her signature. The handwritten signature is a widely used behavioral biometric trait for personnel authentication. It is used in many day-to-day applications such as authentication of documents, forgery detection, bank cheques, credit cards, entry to secured zone, etc. Manual proof of signature through visual inspection requires more time and human effort, whereas automation of signature verification minimizes the human struggle and eliminates fraud (Impedovo and Pirlo, 2008). Researchers have been proposed many models for automatic signature verification over the last four decades. These models vary in the features used, classifier adopted, and the usage of similarity threshold also. Despite many available models, signature verification is still a challenging problem due to its more intra-class variation and less inter-class variation. Still, there is an increasing demand for a reliable automatic signature authentication system. In this paper, a detailed survey carried out on automatic signature verification is presented with qualitative and quantitative analysis. It serves as an aid for researchers working in this direction. This paper exhaustively covers works related to automatic signature verification categorized them based on features used, and a technique adopted, classifier used, dataset, and performance measure.
Article Details
Unique Paper ID: 161052

Publication Volume & Issue: Volume 10, Issue 2

Page(s): 523 - 533
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