Title :
The Research of handwritten signatures
Author :
Liu, Lei ; Duan, Huichuan
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Normal Univ., Jinan, China
Abstract :
Developed an approach to identify the authenticity of signatures based on the variance, Experimental dataset was from SVC2004 database, we combined variance into dynamic time warping algorithm to calculate the intra-class distance (between real signatures) and inter-class distance (between real-forged signatures). The results show that the former is far less than the later, so we draw the conclusion that the deviation between real signatures is smaller than the real-forged ones when people signature. The method in this paper is simple and efficient, It also has strong stability and good recognition rate.
Keywords :
covariance analysis; handwriting recognition; image classification; message authentication; SVC2004 database; authenticity identification approach; dynamic time warping algorithm; handwritten signature recognition; interclass distance; intraclass distance; variance analysis; Acceleration; Accelerometers; Authentication; Data engineering; Databases; Heuristic algorithms; Information science; Matched filters; Stability; Writing;
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
DOI :
10.1109/ITIME.2009.5236234