Review on Verification: A Quantitative Report on How Signature Pattern Recognition Scheme Improve Verification’s Performance

  Minal D. Shahakar,  Ayushi S. Tiwari,  Monica M. Baloji

Human signature is an important bio-metric attribute that can be used to validate person identity. Although signatures are considered as an image and recognized using signature techniques, in which offline signature is challenging task in pattern recognition. In this system, it is proposed and applied offline signature Recognition using Support Vector Machine (SVM) approach and it also presents an off-line signature verification and recognition system using the global, directional and grid features of signatures. Support Vector Machine (SVM) is used to verify and classify the signatures.

Keywords- Offline signature verification, forgery, genuine signature, Handwritten Signature Verification (HSV), Support Vector Machine (SVM), False Rejection Rate (FRR), False Acceptance Rate (FAR), Average Error Rate (AER), Equal Error Rate (EER).

Unique Identification Number - IJEDR2001091
Page Number(s) - 480-486
Pubished in - Volume 8 | Issue 1 | March 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Minal D. Shahakar,  Ayushi S. Tiwari,  Monica M. Baloji,   "Review on Verification: A Quantitative Report on How Signature Pattern Recognition Scheme Improve Verification’s Performance", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.480-486, March 2020, Available at :http://www.ijedr.org/papers/IJEDR2001091.pdf