Structural description and classification of signature images

作者: Maan Ammar , Yuuji Yoshida , Teruo Fukumura

DOI: 10.1016/0031-3203(90)90093-Z

关键词: Artificial intelligenceStructure (mathematical logic)SegmentationPattern recognition (psychology)Signature (logic)Feature extractionComputer sciencePattern recognitionComputer vision

摘要: This paper introduces a new method for describing signature images. The description involves features of the signatures and relations among its parts organized in hierarchical structure. is used to classify globally analyse their

参考文章(14)
Avinash C. Kak, Azriel Rosenfeld, Digital Picture Processing ,(1976)
Nagel, Rosenfeld, Computer Detection of Freehand Forgeries IEEE Transactions on Computers. ,vol. 26, pp. 895- 905 ,(1977) , 10.1109/TC.1977.1674937
Kenneth M. Sayre, Machine recognition of handwritten words: A project report Pattern Recognition. ,vol. 5, pp. 213- 228 ,(1973) , 10.1016/0031-3203(73)90044-7
Sargur N. Srihari, Radmilo M. Boz̆inović, A multi-level perception approach to reading cursive script Artificial Intelligence. ,vol. 33, pp. 217- 255 ,(1987) , 10.1016/0004-3702(87)90035-X
MAAN AMMAR, YUUJI YOSHIDA, TERUO FUKUMURA, OFF-LINE PREPROCESSING AND VERIFICATION OF SIGNATURES International Journal of Pattern Recognition and Artificial Intelligence. ,vol. 02, pp. 589- 602 ,(1988) , 10.1142/S0218001488000376
T.S. Kapoor, M. Kapoor, G.P. Sharma, Study of the Form and Extent of Natural Variation in Genuine Writings with Age Journal of The Forensic Science Society. ,vol. 25, pp. 371- 375 ,(1985) , 10.1016/S0015-7368(85)72416-4
M.K. Brown, S. Ganapathy, PREPROCESSING TECHNIQUES FOR CURSIVE SCRIPT WORD RECOGNITION Pattern Recognition. ,vol. 16, pp. 447- 458 ,(1983) , 10.1016/0031-3203(83)90049-3
E.R. Brocklehurst, Computer Methods of Signature Verification Journal of The Forensic Science Society. ,vol. 25, pp. 445- 457 ,(1985) , 10.1016/S0015-7368(85)72433-4
Réjean Plamondon, Guy Lorette, Automatic signature verification and writer identification — the state of the art Pattern Recognition. ,vol. 22, pp. 107- 131 ,(1989) , 10.1016/0031-3203(89)90059-9