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
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;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.598934
