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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document : 33 / 37

ÇѱÛÁ¦¸ñ(Korean Title) ÀÏ¹Ý Çʱ⠵¥ÀÌÅÍ¿Í ´ÜÀÏ Å¬·¡½º SVMÀ» ÀÌ¿ëÇÑ ¿Â¶óÀÎ ¼­¸í °ËÁõ ±â¹ý
¿µ¹®Á¦¸ñ(English Title) Online Signature Verification Method using General Handwriting Data and 1-class SVM
ÀúÀÚ(Author) ÃÖÈÆ   Çã°æ¿ë   Hun Choi   Gyeongyong Heo  
¿ø¹®¼ö·Ïó(Citation) VOL 22 NO. 11 PP. 1435 ~ 1441 (2018. 11)
Çѱ۳»¿ë
(Korean Abstract)
¿Â¶óÀÎ ¼­¸í °ËÁõÀº °£´ÜÇϸ鼭µµ È¿À²ÀûÀÎ º»ÀÎ È®ÀÎ ¹æ¹ýÀÇ Çϳª·Î »ýü ÀνĿ¡ µû¸¥ °ÅºÎ°¨ÀÌ ÀûÀº ÀåÁ¡À¸·Î º»ÀÎ È®ÀÎ ¿ëµµ·Î »ç¿ëµÇ°í ÀÖ´Ù. ¼­¸í °ËÁõÀ» ºÐ·ù ¹®Á¦·Î Á¢±ÙÇϱâ À§Çؼ­´Â ¸ðÁ¶¼­¸íÀÌ ÇÊ¿äÇÏÁö¸¸, ´ëºÎºÐÀÇ ½Ç¿ëÀûÀÎ ÀÀ¿ë¿¡¼­ ¸ðÁ¶¼­¸íÀ» È®º¸Çϱâ´Â ½±Áö ¾ÊÀ¸¸ç Áø¼­¸í ¿ª½Ã ¸¹Àº ¾çÀ» È®º¸Çϱâ´Â ½±Áö ¾Ê´Ù. ÀÌ ³í¹®¿¡¼­´Â ¸ðÁ¶¼­¸íÀÇ È®º¸°¡ ¾î·Á¿î ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇØ ´ÜÀÏ Å¬·¡½º SVMÀ» »ç¿ëÇÏ°í, Áø¼­¸íÀÇ ¾çÀÌ Á¦ÇѵǴ ¹®Á¦´Â ´Ù¸¥ »ç¶÷ÀÇ ¼­¸í µ¥ÀÌÅ͸¦ ÀÏ¹Ý Çʱ⠵¥ÀÌÅÍ·Î »ç¿ëÇÏ¿© ÇØ°áÇÏ´Â ¹æ¹ýÀ» Á¦½ÃÇÑ´Ù. ´Ù¸¥ »ç¶÷ÀÇ ¼­¸í µ¥ÀÌÅÍ´Â °ËÁõÇÏ°íÀÚ ÇÏ´Â ¼­¸í°ú ÇüÅÂÀûÀÎ À¯»çÁ¡À» ãÀ» ¼ö ¾øÁö¸¸, ¼­¸í¿¡¼­ÀÇ ÀϹÝÀûÀΠƯ¡À» ¹Ý¿µÇÏ°í ÀÖÀ¸¹Ç·Î ÀûÀº ¼öÀÇ Áø¼­¸í¸¸À» È®º¸ÇÒ ¼ö ÀÖ´Â °æ¿ì¿¡ »ç¿ëÇÏ¸é °ËÁõ·üÀ» ³ôÀÏ ¼ö ÀÖÀ¸¸ç ÀÌ´Â ½ÇÇè °á°ú¸¦ ÅëÇؼ­ È®ÀÎÇÒ ¼ö ÀÖ´Ù.
¿µ¹®³»¿ë
(English Abstract)
Online signature verification is one of the simple and efficient methods of identity verification and has less resistance than other biometric technologies. To handle signature verification as a classification problem, it is necessary to gather forgery signatures, which is not easy in most practical applications. It is not easy to obtain a large number of genuine signatures either. In this paper, one class SVM is used to tackle the forgery signature problem and someone else¡¯s signatures are used as general handwriting data to solve the genuine signature problem. Someone else¡¯s signature does not share shape-based features with the signature to be verified, but it contains the general characteristics of a signature and useful in verification. Verification rate can be improved by using the general handwriting data, which can be confirmed through the experimental results.
Å°¿öµå(Keyword) ´ÜÀÏ Å¬·¡½º SVM   ¸ðÁ¶¼­¸í   ¿Â¶óÀÎ ¼­¸í °ËÁõ   ÀÏ¹Ý Çʱ⠠ 1-class SVM   Forgery   Online signature verification   General handwriting  
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