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The character image quality plays an important role in degraded character recognition which could tell the recognition difficulty. This paper proposed a novel approach to degraded character recognition by three kinds of independent degradation sources. It is composed of two stems: character image quality evaluation, character recognition. Firstly, it presents the dual-evaluation to evaluate the image quality of the input character. Secondly, according to the input evaluation result, the character recognition sub-systems adaptively act on. These sub-systems are trained by character sets whose image qualities are similar to the input's quality, and have special features and special classifiers respectively. Experiment results demonstrate the proposed approach highly improved the performance of degraded character recognition system.
Date of Conference: 23-26 Aug. 2010