Description: Construction of the use of pattern recognition methods of extracting essential Strokes neurons handwritten Chinese character image sequence coverage, analysis Strokes topological properties of neurons, the handwritten Chinese character image into a fault-tolerant species Representation type of character strokes mimic the human form of geometry Statistics character image code input method has the shape of the strokes Redundancy neuron type, quantity, location, consistency, and the intersection points, and build knowledge of handwritten Chinese character feature table data structure of a handwritten Chinese character recognition of handwritten Chinese characters library of simulation experiments. The results proved that this method has a strong "cognitive" ability of handwritten Chinese characters.
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一种基于仿生识别的脱机手写体汉字识别方法.pdf
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