Tibetan Character Recognition Based on Machine Learning of K-means Algorithm

被引：0
|
作者：
Gong, Huiwen [1 ]
Xiang, Wei [1 ]
机构：
[1] Southwest MinZu Univ, Chengdu 610225, Sichuan, Peoples R China
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON COMPUTER MODELING, SIMULATION AND ALGORITHM (CMSA 2018) | 2018年 / 151卷
关键词：
artificial intelligence; machine learning; Tibetan character recognition; Tesseract; -OCR; K-means algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we analyze and extract the Tibetan text features structure based on k-means image character recognition algorithm. Through character library file generated from Tessract-ocr training, we improve the accuracy and recognition of image text recognition and extraction and realize the identification of Tibetan.
引用
收藏
页码：340 / 342
页数：3
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