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      폰트 특성과 분할 비용에 따른 문자 분할 = Font-specific character segmentation with segmentation cost

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      https://www.riss.kr/link?id=A60175465

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      Touching characters are responsible for the majority of errors in the machine-printed character recognition. This paper defines two character segmentation costs, which are a cutting cost and a tangent cost. The cutting cost is defined as how many black pixels should be apart in order to segment a pattern. The tangent cost is defined as how many black and white pixels a segment line passes by consecutively. A font classifier provides a candidate character of touching characters. The width of the candidate character gives a reference line to segment touching characters. A few neighboring columns of the reference line gives a possible segment area. The cutting cost and the tangent costs can find an optimal segmenting path to segment touching characters and improve the performance of character segmentation.
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      Touching characters are responsible for the majority of errors in the machine-printed character recognition. This paper defines two character segmentation costs, which are a cutting cost and a tangent cost. The cutting cost is defined as how many blac...

      Touching characters are responsible for the majority of errors in the machine-printed character recognition. This paper defines two character segmentation costs, which are a cutting cost and a tangent cost. The cutting cost is defined as how many black pixels should be apart in order to segment a pattern. The tangent cost is defined as how many black and white pixels a segment line passes by consecutively. A font classifier provides a candidate character of touching characters. The width of the candidate character gives a reference line to segment touching characters. A few neighboring columns of the reference line gives a possible segment area. The cutting cost and the tangent costs can find an optimal segmenting path to segment touching characters and improve the performance of character segmentation.

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