DocumentCode
2476248
Title
A lossless image compression method for human static signatures
Author
Lee, Luan Ling ; Lizarraga, Miguel G.
Author_Institution
UNICAMP, Campinas, Brazil
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
910
Abstract
This paper describes a lossless compression method for static human signatures. 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 a compression rate of 96.98% over human static signatures on the average is achieved
Keywords
Huffman codes; data compression; handwriting recognition; image coding; redundancy; code optimization; human static signatures; image acquisition; image bounding; lossless image compression; redundancies; signature image partition; signature verification; truncated Huffman coding; visual database; Authentication; Authorization; Data mining; Digital signatures; Feature extraction; Handwriting recognition; Humans; Image coding; Optimization methods; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547300
Filename
547300
Link To Document