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Off-line signature verification with PSO-NN algorithm

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2 Author(s)
Das, M.T. ; Gaziantep Univ., Gaziantep ; Dulger, L.C.

Analysis of signature is a widely used and developed area of research for personal verification. A typical signature verification system generally consists of four components: data acquisition, pre-processing, feature extraction and verification. This paper presents a novel technique for off-line signature verification (SV). The technique is based on a neural network (NN) approach trained with particle swarm optimization (PSO) algorithm. To test the performance of the proposed PSO-NN algorithm three types of forgeries; random, unskilled and skilled are examined and the experimental results are illustrated.

Published in:

Computer and information sciences, 2007. iscis 2007. 22nd international symposium on

Date of Conference:

7-9 Nov. 2007