Title :
Detection of courtesy amount block on bank checks
Author :
Agarwal, Arun ; Granowetter, Len ; Hussein, Karim ; Gupta, Amar ; Wang, P.S.P.
Author_Institution :
Sloan Sch. of Manage., MIT, Cambridge, MA, USA
Abstract :
This paper discusses a technique for locating the courtesy amount block on bank checks. In the analysis and recognition process, connected components in the image are identified first. Then, strings are constructed on the basis of proximity and horizontal alignment of characters. Next, a set of rules and heuristics are applied to these strings to choose the correct one. The chosen string is only accepted if it passes a verification test, which includes an attempt to recognize the currency sign. A deterministic finite automaton system is then used for segmenting the handprinted courtesy amount. Finally, the separated components are passed on to a neural network based recognition system
Keywords :
bank data processing; character recognition; cheque processing; deterministic automata; document image processing; finite automata; handwriting recognition; image segmentation; neural nets; bank checks; courtesy amount block; currency sign; deterministic finite automaton; handprinted courtesy amount; neural network based recognition; recognition; segmenting; Computer science; Educational institutions; Image processing; Image recognition; Image segmentation; Optical character recognition software; Pattern recognition; Technology management; Text analysis; Text recognition;
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.1995.602011