Hand-written character input method and system

Abstract

The invention discloses a hand-written character input method, which comprises: A, ,performing feature selection on prestored character classes and calculating a template in coarse classification; B, performing feature transformation on the prestored character classes and calculating a template in fine classification; C, acquiring a discrete coordinate sequence of a track point of an input character and adopting a smooth continuous function to adjust the size and shape of the hand-written input character and a centrobaric coordinate value; D, extracting feature to obtain a multidimensional feature vector of the hand-written character; E, selecting partial feature value of the hand-written input character, matching the hand-written input character with the template in coarse classificationrespectively, and selecting a plurality of candidate character classes with the maximum similarity; and F, performing feature transformation on the hand-written input character, matching the hand-written input character with the sample center of the candidate character classes selected from the template in fine classification, and determining the most similar character classes. The invention alsodiscloses a hand-written character input system. The invention has higher speed of identifying the hand-written input character, and higher identification accuracy.

Description

technical field [0001] The invention relates to the field of handwritten character recognition, in particular to a handwritten character input method and system. Background technique [0002] At present, the recognition technology of handwriting input is applied to various communication terminals and information processing terminals; this type of terminal product usually has a touch handwriting fluorescent screen for writing, and the user can write on it with a pen or finger, and then through the identification of the terminal processing, generating corresponding characters to display on the terminal, and performing subsequent related operations. The recognition technology of handwriting input improves the speed and flexibility of input, so it is widely used. [0003] The current recognition process of handwritten input is mostly divided into steps such as signal acquisition, preprocessing, feature extraction, and feature matching. The preprocessing in the existing method us...

AI Technical Summary

Problems solved by technology

[0003] The current recognition process of handwritten input is mostly divided into steps such as signal acquisition, preprocessing, feature extraction, and feature matching. The transformed character shape is unnatural, which affects the subsequent recognition processing

[0004] Due to the large amount of calculation and long processing time in the existing technology, the recognition speed is still slow, and the recognition accuracy is not high, and further improvement is needed

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