Method and system for obtaining character matching stencil

Abstract

The invention discloses a method for obtaining a character matching template, which comprises the following steps: A, acquiring a handwritten character sample of a character class; B, calculating a discrete coordinate sequence; C, adjusting the size and shape of the handwritten character sample and a coordinate value of a gravity center to obtain a regular coordinate sequence of the handwritten character sample; D, carrying out characteristic extraction to acquire a multi-dimensional characteristic vector of the handwritten character sample; E, selecting partial characteristic value from the multi-dimensional characteristic vector of the sample of the character class, and calculating a sample center of each character class to obtain a rough sorted template; and F, calculating a characteristic transformation matrix according to the Fisher criteria, carrying out characteristic transformation for the multi-dimensional characteristic vector of the sample of the character class, recalculating the sample center of each character class, and then carrying out iteration regulation to obtain a fine sorted template. The invention also discloses a system for obtaining the character matching template. The rough sorted template and the fine sorted template obtained by the method improve the accuracy of handwritten character recognition.

Description

technical field [0001] The invention relates to the field of handwritten character recognition, in particular to a method and system for obtaining a character matching template. 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 handwriting input recognition process is mostly divided into signal acquisition, preprocessing, feature extraction, feature matching and other steps, that is, the feature vector of t...

AI Technical Summary

Problems solved by technology

[0004] In the process of obtaining the pre-stored matching templates in the prior art, the accuracy of handwritten character recognition is affected due to the large amount of calculation and long processing time, and the accuracy of the obtained matching templates is not high.

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