Paper
23 March 1994 Deferred interpretation of gray-scale saddle features for recognition of touching and broken characters
Jairo Rocha, William J. Sakoda, Jiangying Zhou, Theo Pavlidis
Author Affiliations +
Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171122
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
Interpretation of gaps and touching characters continues to challenge current OCR designs. We approach this and other difficult problems in character recognition by deferring decisions to a stage where a character-specific knowledge base can be applied to the problem. We show how to extract and interpret saddle ridge features, at locations where there is either a narrow gap or a thin stroke. Since the color of the ideal image at these points cannot be locally deduced reliably from the features, special treatment is needed. Mathematically a saddle ridge is one where, roughly, there are strong eigenvalues of the Hessian of the gray scale surface that are of opposite sign. The recognition module is based on the matching of subgraphs homomorphic to previously defined prototypes. It generates candidate matchings of groups of input features with each part of the prototype. In this context, each saddle ridge is decided to be a piece of a stroke or a separation between strokes. The quality of each grouping is measured by the cost of transformations carrying the candidate features into the prototype.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jairo Rocha, William J. Sakoda, Jiangying Zhou, and Theo Pavlidis "Deferred interpretation of gray-scale saddle features for recognition of touching and broken characters", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171122
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Cited by 3 scholarly publications.
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KEYWORDS
Prototyping

Bridges

Optical character recognition

Image segmentation

Databases

Detection and tracking algorithms

Ridge detection

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