DocumentCode
311070
Title
Symbolic/neural recognition of cursive amounts on bank cheques
Author
Dodel, Jean-Pierre ; Shinghal, Rajjan
Author_Institution
Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
Volume
1
fYear
1995
fDate
14-16 Aug 1995
Firstpage
15
Abstract
A symbolic/neural approach to recognize unconstrained handwritten cursive amounts in bank cheques is proposed. Features like ascenders and descenders are extracted from the binary image of the amount. Depending on the features extracted, some words are recognized entirely symbolically, some words entirely neurally, and the remaining both symbolically and neurally. Results of preliminary experiments are provided
Keywords
bank data processing; cheque processing; document image processing; feature extraction; handwriting recognition; neural nets; ascenders; bank cheques; binary image; cursive amounts; descenders; feature extraction; symbolic/neural approach; symbolic/neural recognition; unconstrained handwritten cursive amount recognition; Computer science; Feature extraction; Handwriting recognition; Neural networks; Pattern recognition; Vocabulary; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-8186-7128-9
Type
conf
DOI
10.1109/ICDAR.1995.598934
Filename
598934
Link To Document