Character recognition via critical points | Zendy

Shchepin E. V. | Zendy; Nepomnyashchii G. M. | Zendy

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Character recognition via critical points

Author(s) -

Shchepin E. V.,

Nepomnyashchii G. M.

Publication year - 1991

Publication title -

international journal of imaging systems and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.359

H-Index - 47

eISSN - 1098-1098

pISSN - 0899-9457

DOI - 10.1002/ima.1850030306

Subject(s) - smoothing , computer science , character (mathematics) , character recognition , graph , coding (social sciences) , artificial intelligence , plane (geometry) , algorithm , pattern recognition (psychology) , theoretical computer science , computer vision , image (mathematics) , mathematics , geometry , statistics

A new approach to image coding, based on ordinate‐preserving plane homoeomorphism invariants, is presented. A critical‐points graph bearing full information on these invariants is outlined. Appropriate noise‐smoothing techniques are developed. The proposed method has been implemented and tested with a new optical character recognition program, CRIPT.

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