[request_ebook] Substructure shape analysis for Kanji character recognition

Description

• Publisher: Springer Berlin / Heidelberg
• Publish Date: 1996
• Pages: 361

A method towards analytical recognition of Chinese characters is described. Basic character components (substructures) of any size are recognized anywhere on a Kanji string, even if they touch other components. The algorithm performs skeleton extraction, skeleton grouping, indexing of structural features on a previously generated look-up table, structural verification of hypothesis using model graphs, and geometrical verification by an array of neural nets, each one specialized on the geometry of each model. The system retrieves 98 % of substructures with 91% precision rate.

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