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.
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;
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
DOI :
10.1109/ICPR.1994.576974
