Character segmentation method for offline handwriting Uighur words

Abstract

The invention discloses a character segmentation method for offline handwriting Uighur words, belonging to the field of character segmentation in optical character identification. The character segmentation method comprises the following realization steps of adopting a multi-characteristic analysis method and extracting a communicating characteristic, an attribution characteristic, a position characteristic and a local summit characteristic of a word; dividing the word into field aggregates template according to the communicating characteristic, and dividing all fields into master fields and slave fields; obtaining a plurality of sub field aggregates through field clustering according to the attribution characteristic; carrying out multi-characteristic combination guide segmentation aiming to each sub field aggregate, extracting a potential master-slave segmentation point according to the local summit characteristic and the communicating characteristic, and determining to adopt an independent or combination segmentation mode combined with the position characteristic; and finally, obtaining the integral optimal character segmentation effect by optimizing a segmentation line according to the communicating characteristic and the position characteristic. The invention has the advantages of favorable character segmentation effect to the Uighur word, simple operation steps with easy realization and low calculation complexity and can finish character segmentation by being transplanted on a mobile phone mobile platform.

Description

technical field [0001] The invention relates to a digital image processing method, which belongs to a character segmentation method and can be used for character segmentation of off-line handwritten Uighur words in optical character recognition. Background technique [0002] With the continuous expansion of the application field of handwritten character recognition and the improvement of the recognition ability of classifiers, character segmentation technology has become a key issue in the field of optical character recognition research. Practice has shown that inaccurate character segmentation is one of the main reasons for misrecognition, and the improvement of the correct recognition rate of a single character largely depends on the accuracy of character segmentation. [0003] The Uyghur language is an important minority language in my country, which belongs to the West-Hungarian branch of the Turkic language family of the Altaic language family. In Xinjiang alone, more t...

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Problems solved by technology

[0014] In short, the above-mentioned several character segmentation techniques still have many deficiencies in the offline handwritten Uyghur character segmentation. Therefore, how to develop a robust method for offline handwritten Uyghur character segmentation is to It has become a new topic of concern to technical personnel in the industry

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