DocumentCode
3136247
Title
Off-Line Writer Verification Using Shape and Pen Pressure Information
Author
Okawa, Manabu ; Yoshida, Kenta
Author_Institution
Metropolitan Police Dept., Univ. of Tsukuba, Tsukuba, Japan
fYear
2012
fDate
18-20 Sept. 2012
Firstpage
625
Lastpage
630
Abstract
This paper proposes an off-line writer verification method which uses a new hybrid feature. The characteristics of this new feature are the combination of shape and pen pressure information. For shape information, we use the Weighted Direction code Histogram (WDH), which is often used in Japanese handwriting recognition and writer verification methods. For pen pressure information, we use the texture features of infrared (IR) images obtained from a multi-band image scanner. Although the simple use of pen pressure information encoded in the infrared image can not improve verification error rate, the use of second order statistics and the clipping process can decrease the verification error rate from 4.8% to 3.7%.
Keywords
handwritten character recognition; image texture; infrared imaging; statistical analysis; Japanese handwriting recognition; clipping process; infrared image; multiband image scanner; offline writer verification; pen pressure information; second order statistics; shape information; texture feature; weighted direction code histogram; writer verification method; Handwriting recognition; cost-sensitive learning; geometric mean; infrared image; off-line writer verification; pen pressure; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on
Conference_Location
Bari
Print_ISBN
978-1-4673-2262-1
Type
conf
DOI
10.1109/ICFHR.2012.246
Filename
6424466
Link To Document