Novel Features for Off-line Signature Verification

  • Banshider Majhi Department of CSEA NIT Rourkela India 769008
  • Y Santhosh Reddy Department of CSEA NIT Rourkela India 769008
  • D Prasanna Babu Department of CSEA NIT Rourkela India 769008

Abstract

In this paper a novel feature extraction scheme has been suggested for offline signature verification. The proposed method used geometric center for feature extraction. Euclidean distance model was used for classification. This classifier is well suitable for features extracted and fast in computation. Method proposed in this paper leads to better results than existing offline signature verification methods. Threshold selection is based on statistical parameters like average and standard deviation (sigma).

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Published
2006-01-01
How to Cite
MAJHI, Banshider; REDDY, Y Santhosh; BABU, D Prasanna. Novel Features for Off-line Signature Verification. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 1, n. 1, p. 17-24, jan. 2006. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2268>. Date accessed: 29 june 2022.

Keywords

Feature Extraction, Geometric Center, Euclidean Distance Model, Standard Deviation and Off-line Signature Verification