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