Identification method of handwritten Uyghur words

A word recognition and word technology, applied in the field of text recognition, can solve the problem of difficulty in extracting the global feature vector of Uyghur words, and achieve the effect of improving the average recognition rate, good robustness, and simple distance calculation.

Inactive Publication Date: 2015-09-09
XIDIAN NINGBO INFORMATION TECH INST
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Problems solved by technology

[0008] The purpose of the present invention is to overcome the difficulty of extracting the existing global feature vec

Method used

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  • Identification method of handwritten Uyghur words
  • Identification method of handwritten Uyghur words
  • Identification method of handwritten Uyghur words

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] A kind of handwritten Uighur word recognition method is provided in the present embodiment, see figure 1 As shown, it includes the following steps:

[0046] Step 1. Preprocess the collected handwritten Uyghur words. For the preprocessing process, see figure 2 As shown, specifically include:

[0047] (1-1), cutting the handwritten Uyghur word image, removes the region that does not contain the text track point in the handwritten Uyghur word image, thereby leaves the region that includes the text track point;

[0048] (1-2), normalize the Uyghur words after (1-1) cropping, and normalize the handwritten Uyghur word images of different sizes into images of the same size, such as handwritten Uyghur words after normalization The word image size is 256×256;

[0049] (1-3), the handwritten Uyghur word image after (1-2) normalization proce...

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Abstract

The invention relates to an identification method of handwritten Uyghur words. The identification method comprises the following steps: firstly, preprocessing a handwritten Uyghur word; then, independently extracting a stroke structure characteristic and a gradient characteristic of the Uyghur word, wherein the stroke structure characteristic is directly extracted on a time coordinate sequence, the gradient characteristic is extracted from a two-dimensional image which is mapped by the time coordinate sequence of the preprocessed handwritten Uyghur word; carrying out serial fusion on the stroke structure characteristic and the gradient characteristic; and finally, carrying out classification identification by an Euclidean distance classifier to obtain an identification result. Two Uyghur word characteristics are extracted and are subjected to serial fusion, and an identification rate is improved than a way that single characteristic is extracted. The algorithm has the advantages of being good in algorithm performance and high in instantaneity, reliability and identification rate, is mainly applied to a mobile terminal to realize the identification of the handwritten Uyghur words, provides a new method for the informative processing of the Uyghur and opens up a new application way.

Description

technical field [0001] The invention belongs to the technical field of character recognition in pattern recognition, and mainly relates to the field of handwriting recognition, in particular to a method for recognizing handwritten Uighur words, which is used for realizing handwritten input of Uyghur words on a mobile terminal. Background technique [0002] Uyghur language is an important minority language in my country and one of the main characters used by Uyghurs in Xinjiang for communication and work. According to the national standard GB12050-89, the modern Uyghur language consists of 32 letters, including 8 vowels and 24 consonants. Since the shape of the Uyghur alphabet is written alone or in different positions at the beginning, middle, and end of words, each letter has 2 to 8 writing forms, such as front-joining, back-joining, double-joining, and single-vertical, and has evolved into 124. character. In addition, there are two compound characters, a trailing prefix ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/60
CPCG06V10/20G06F18/241
Inventor 卢朝阳李静瞿萌许亚美李克帕提古丽·艾麦尔尼亚孜郝珍珍
Owner XIDIAN NINGBO INFORMATION TECH INST
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