Method for extracting features from on-line handwritten characte

Image analysis – Histogram processing – For setting a threshold

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382 16, 382 24, G06K 946, G06K 950

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053135288

ABSTRACT:
A method provides for extracting features from a handwritten character which is input to an on-line input device. The on-line input device successively outputs stroke information indicating points on strokes of the handwritten character. The method includes a first step of detecting strokes of the handwritten character based on the stroke information. Thereafter, singular points are detected, based on the stroke information. Each of the singular points is defined as a pair of points on the strokes of the handwritten character which are written at different times but have substantially the same coordinates. Then, primitive sequences forming each of the strokes are obtained, and a connective relationship between each two formative sequences of each of the strokes is determined. Finally, the structure of each of the singular points is determined.

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Charles C. Tappert et al, "The State of the Art in On-Line Handwriting Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, No. 8, Aug. 1990, pp. 787-808.
Y. Sugishita, "On Line Handwriting Recognition for Kanji Characters in which Restrictions in Writing, such as a Restriction Regarding Simplified Characters Are Eased", Nikki Electronics, No. 331, Dec. 5, 1983, pp. 115-133.

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