Off-line handwritten signature retrieval

Authors:
M. S. Shirdhonkar;M. B. Kokare
Affiliations:
B.L.D.E.A's College of Engineering & Technology, Bijapur, India;S.G.G.S Institute of Engineering & Technology, Nanded, India
Venue:
Proceedings of the CUBE International Information Technology Conference
Year:
2012

Citing 5
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Abstract

This paper presents a new method for off-line handwritten signature retrieval using rotated complex wavelet filters (RCWF) and dual tree complex wavelet transform (DT-CWT) jointly for extracting details in twelve different directions of the signature image. This paper addresses issue in the context of a database of handwritten signature images and describes a system for similarity retrieval. The performance of the system has been tested with a signature image database of 192 signatures. From experimental results, we achieved a recall of 73.95% when considering the top 12 results. The results indicate that the proposed system is able to retrieve signatures with high accuracy even when a part of a signature is missing.