DocumentCode :
2747336
Title :
Document recognition strategies for bank cheques
Author :
Shridhar, M. ; Houle, G.F. ; Kimura, F.
Author_Institution :
Univ. of Michigan-Dearborn, Dearborn, MI, USA
fYear :
2009
fDate :
7-9 June 2009
Firstpage :
170
Lastpage :
173
Abstract :
This paper presents document recognition strategies for two important applications: 1) comprehensive check image reader and 2) recognition of text document containing multiple lines of text data. This paper describes the challenges in finding and recognizing the fields of interest on the broad document types. The remaining of the paper will focus on handwritten legal line recognition which remains the most challenging field.
Keywords :
banking; document image processing; image recognition; bank cheques; comprehensive check image reader; handwritten legal line recognition; text data; text document recognition; Character recognition; Data mining; Error analysis; Handwriting recognition; Image quality; Image recognition; Law; Legal factors; Target recognition; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro/Information Technology, 2009. eit '09. IEEE International Conference on
Conference_Location :
Windsor, ON
Print_ISBN :
978-1-4244-3354-4
Electronic_ISBN :
978-1-4244-3355-1
Type :
conf
DOI :
10.1109/EIT.2009.5189604
Filename :
5189604
Link To Document :
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