Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/95660
Type: Artigo de evento
Title: Lossless Compression Of Human Static Signatures
Author: Lee Luan Ling
Lizarraga Miguel Gustavo
Abstract: This paper describes a lossless compression method for static human signatures applicable to personal identification. The method consists of four sequential procedures: 1) the static signature image bounding; 2) the signature image partition; 3) the elimination of redundancies in the signature image patterns, and 4) the code optimization through the truncated Huffman coding. Experimental results reveal that the proposed method is capable of achieving a compression rate of 96.98% over human static signatures on the average if images are intelligently partitioned.
Editor: IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0030385906&partnerID=40&md5=46212ae31d0918eef0d59cdb1a86c7db
Date Issue: 1996
Appears in Collections:Unicamp - Artigos e Outros Documentos

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