Paper
14 April 1993 Disambiguation of characters by a second-stage classifier
Jiangying Zhou, Theo Pavlidis
Author Affiliations +
Proceedings Volume 1906, Character Recognition Technologies; (1993) https://doi.org/10.1117/12.143617
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States
Abstract
Certain characters are distinguishable from each other only by fine detail, and, therefore, in our method we group those characters into hierarchical categories. When the first classifier assigns a character to one of those categories, the second process, which is called disambiguation, is applied. We actually use two types of disambiguators. In one we look at the skeleton graph in finer detail and in the other we look at the original gray scale data. The first disambiguation process is geared toward resolving ties between the top two choices of the first classifier (pair disambiguation). Each procedure uses the skeleton features matched to the prototypes by the first classifier and then takes a closer look at the geometrical relations between arcs and strokes. Error analysis of the results suggested the need for the re- examination of the gray scale data. For this purpose the gray scale values of skeletons are used to find an accurate threshold in order to extract contours. Interpretations whose characteristics do not align well with the features measured from the contours are eliminated progressively. Experiments conducted with this method on address blocks supplied by the USPS indicated that the overall performance was substantially improved.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiangying Zhou and Theo Pavlidis "Disambiguation of characters by a second-stage classifier", Proc. SPIE 1906, Character Recognition Technologies, (14 April 1993); https://doi.org/10.1117/12.143617
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Prototyping

Optical character recognition

Error analysis

Computer science

Detection and tracking algorithms

Medium wave

Mirrors

RELATED CONTENT

A segmentation-free approach to Arabic and Urdu OCR
Proceedings of SPIE (February 04 2013)
Comparison of scanned administrative document images
Proceedings of SPIE (January 31 2020)
Document structure analysis algorithms: a literature survey
Proceedings of SPIE (January 13 2003)
Scene change detection based on multimodal integration
Proceedings of SPIE (September 25 2003)
A MRF model with parameter optimization by CRF for on...
Proceedings of SPIE (January 24 2011)
Benchmarking of document page segmentation
Proceedings of SPIE (December 22 1999)

Back to Top