Recognition of line segments with unevenness used in OCR and fingerprints
Identifieur interne : 001F92 ( Main/Merge ); précédent : 001F91; suivant : 001F93Recognition of line segments with unevenness used in OCR and fingerprints
Auteurs : Nikolaos G. Bourbakis [États-Unis] ; David Goldman [États-Unis]Source :
- Engineering Applications of Artificial Intelligence [ 0952-1976 ] ; 1998.
Abstract
This paper deals with the recognition of digital line segments with unevenness, and their application to the recognition of handwritten characters and fingerprints. The recognition methodology for line segments with unevenness is based on a heuristic criterion, where the user hierarchically defines the levels of tolerance (or acceptance) whereby an unevenness is removed from a line segment (ignored) or not. The results of this line-recognition approach are used on a graph-based method for the recognition of handwritten characters, where the graph nodes are straight or curve line segments. In addition, the same approach is used on the recognition of line segments extracted from fingerprints to form the appropriate graphs, which represent a fingerprint.
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DOI: 10.1016/S0952-1976(98)00063-3
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