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- W29074854 abstract "Handwriting is a common means of recording personal information and communication, even with the introduction of new technologies. Machine recognition of handwriting has practical significance, as in reading handwritten notes in a PDA, postal addresses on envelopes, amounts in bank checks, handwritten fields in forms, etc. This overview describes the nature of handwritten language, how it is transduced into electronic data and the basic concepts behind written language recognition algorithms. Both the dynamic or on-line case (which pertains to the availability of trajectory data during writing) and the static or off-line case (which pertains to scanned images) are considered. Algorithms for preprocessing, character and word recognition, and performance with practical systems are indicated. Variations of handwriting recognition such as signature verification and writer identification are also described." @default.
- W29074854 created "2016-06-24" @default.
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- W29074854 date "2006-01-01" @default.
- W29074854 modified "2023-09-23" @default.
- W29074854 title "Handwriting Recognition, Automatic" @default.
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- W29074854 doi "https://doi.org/10.1016/b0-08-044854-2/00982-2" @default.
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