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Proceedings Paper

Local structural association for retrieval and recognition of signature images
Author(s): Ishwar K. Sethi; Ke Han
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Paper Abstract

Many applications require similarity retrieval of an image from a large collection of images. In such cases, image indexing becomes important for efficient organization and retrieval of images. This paper addresses this issue in the context of a database of signature images and describes a system for similarity retrieval and recognition of signature images. The proposed system uses a set of geometric and topological features to map a signature image into two strings of finite symbols. A local associative indexing scheme is then used on the strings to organize and search the signature database. The advantage of the local associative indexing is that it is tolerant of missing features and allows queries even with partial signatures. The performance of the system has been tested with promising results with a signature database of 120 signatures.

Paper Details

Date Published: 23 March 1995
PDF: 12 pages
Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); doi: 10.1117/12.205291
Show Author Affiliations
Ishwar K. Sethi, Wayne State Univ. (United States)
Ke Han, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 2420:
Storage and Retrieval for Image and Video Databases III
Wayne Niblack; Ramesh C. Jain, Editor(s)

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