Title :
A lossless image compression method for human static signatures
Author :
Lee, Luan Ling ; Lizarraga, Miguel G.
Author_Institution :
UNICAMP, Campinas, Brazil
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547300
