DocumentCode
3173693
Title
OCR from poor quality images by deformation of elastic templates
Author
Del Bimbo, Alberto ; Santini, Stefania ; Sanz, Jose
Author_Institution
Dipartimento Sistemi e Inf., Firenze Univ.
Volume
2
fYear
1994
fDate
9-13 Oct 1994
Firstpage
433
Abstract
We present a method for elastic pattern matching that we apply to segmentation-free OCR. We use a number of digit models (templates) that are allowed to undergo elastic deformation while trying to adapt to the digit image they are exposed to. Each template must satisfy two competing requirements: (1) it must match the image as much as possible and (2) it must keep its elastic deformation energy as little as possible. These two requirements can be expressed in the form of a variational problem, whose solution gives the optimal deformation for a template
Keywords
optical character recognition; digit models; elastic pattern matching; elastic template deformation; poor quality images; segmentation-free OCR; variational problem; Charge coupled devices; Costs; Credit cards; Deformable models; Image recognition; Image segmentation; Optical character recognition software; Pattern matching; Pattern recognition; Printing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6270-0
Type
conf
DOI
10.1109/ICPR.1994.576974
Filename
576974
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