Recognition of Offline Handwritten Chinese Characters Using the Tesseract Open Source OCR Engine

被引：6
|
作者：
Li, Qi [1 ]
An, Weihua [1 ]
Zhou, Anmi [1 ]
Ma, Lehui [1 ]
机构：
[1] Beijing Language & Culture Univ, Coll Informat Sci, Beijing, Peoples R China
来源：
2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2 | 2016年
关键词：
Offline handwritten Chinese characters; Optical Character Recognition; Tesseract;
D O I：
10.1109/IHMSC.2016.239
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Due to the complex structure and handwritten deformation, the offline handwritten Chinese characters recognition has been one of the most challenging problems. In this paper, an offline handwritten Chinese character recognition tool has been developed based on the Tesseract open source OCR engine. The tool mainly contributes on the following two points: First, a handwritten Chinese character features library is generated, which is independent of a specific user's writing style; Second, by preprocessing the input image and adjusting the Tesseract engine, multiple candidate recognition results are output based on weight ranking. The recognition accuracy rate of this tool is above 88% for both known user test set and unknown user test set. It has shown that the Tesseract engine is feasible for offline handwritten Chinese character recognition to a certain degree.
引用
收藏
页码：452 / 456
页数：5
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