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- W1873587239 abstract "Conventional features are robust for recognizing either deformed or degraded characters. This paper proposes a feature extraction method that is robust for both of them. Run-length compensation is introduced for extracting approximate directional run-lengths of strokes from degraded handwritten characters. This technique is applied to the conventional feature vector based on directional run-lengths. Experiments for handwritten characters with additive or subtractive noise show that the proposed feature is superior to conventional ones over a wide range of the degree of noise." @default.
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- W1873587239 date "2002-11-13" @default.
- W1873587239 modified "2023-09-26" @default.
- W1873587239 title "Robust feature extraction based on run-length compensation for degraded handwritten character recognition" @default.
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- W1873587239 doi "https://doi.org/10.1109/icdar.2001.953870" @default.
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