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INCORPORATING DYSLEXIA DETECTION IN HANDWRITING PATTERN RECOGNITION
INCORPORATING DYSLEXIA DETECTION IN HANDWRITING PATTERN RECOGNITION
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机译:在手写模式识别中引入不典型检测
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摘要
A method for incorporating dyslexia detection into existing handwriting pattern recognition software includes a database of distorted characters (18) and a database of legitimate characters (16) for comparison. The distorted characters are typical of those produced by dyslexic persons. The system used may be a personal computer, a personal digital assistant, or an Internet system. A means of freehand drawing is included, such as a stylus with pressure sensitive drawing area, a drawing tablet, or pen-pad-type device. A character is first presented to the student for reproduction. The student then draws a character on the pad (32), attempting to reproduce the character. The system software detects a correspondence (34) between the character input and the legitimate characters, when occurring. When the drawn character does not correspond to a legitimate character, but does correspond to one of the distorted character sets (36), the result is stored, and later reported (44).
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