This paper proposes an integrated scheme for identifying segmented degraded numeral characters in gray images. The scheme consists of distinguishing foreground from background, wiping off mottles, cutting margins, calculating features, and recognizing numerals by the classifier established based on the measure of medium truth degree and several features selected by logistic regression. The experimental results show that the proposed approach performs well on recognition of degraded numeral characters.
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