Title :
Post-processing scheme for improving recognition performance of touching handwritten numeral strings
Author :
Kim, Kye Kyung ; Chung, Yun Koo ; Suen, Ching Y.
Author_Institution :
Electron. & Telecommun. Res. Inst., Daejeon, South Korea
Abstract :
This paper describes a post-processing scheme to improve recognition performance of touching handwritten numeral strings. Verification factors are defined to rectify the recognition results of digits that are segmented by the highest reliability values. Three kinds of verification factors from structural features and recognition probability are used to determine mis-segmented digits. Additional segment digit set is included in valid digit sets when it satisfies the reconsideration condition. A final optimal digit set is selected as the highest ranked segment digit set among all candidate segmented digit sets. Introduction of reconsideration condition and additional segment digit set improves the reliability of the recognition result as well as recognition performance. Experiments were carried out with touching handwritten numeral strings of NIST SD19 database and an encouraging recognition result was obtained.
Keywords :
Boolean functions; handwritten character recognition; image segmentation; probability; Boolean function; NIST SDI 9 database; handwritten character recognition; post-processing scheme; probability; segment digit set; segmentation; touching handwritten numeral strings; verification factors; Databases; Error correction; Handwriting recognition; NIST; Sufficient conditions;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1047859