为复杂的脚本改编Tesseract:以乌尔都语Nastalique为例

2014 11th IAPR International Workshop on Document Analysis Systems Pub Date : 2014-04-07 DOI:10.1109/DAS.2014.45

Q. Akram, S. Hussain, A. Niazi, Umair Anjum, Faheem Irfan

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引用次数: 32

摘要

Tesseract引擎支持多语言文本识别。然而，使用Tesseract识别草书是一项具有挑战性的任务。乌尔都语是一种非常复杂的阿拉伯文草书体，本文对Tesseract引擎进行了分析和改进，用于乌尔都语Nastalique书写体的识别。原始Tesseract系统在14和16种字体大小下的准确率分别为65.59%和65.84%，而改进后的系统在缩小搜索空间后的准确率分别为97.87%和97.71%。对于Nastalique文档图像的识别，效率也从平均170毫秒(ms)提高到平均84毫秒。

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Adapting Tesseract for Complex Scripts: An Example for Urdu Nastalique

Tesseract engine supports multilingual text recognition. However, the recognition of cursive scripts using Tesseract is a challenging task. In this paper, Tesseract engine is analyzed and modified for the recognition of Nastalique writing style for Urdu language which is a very complex and cursive writing style of Arabic script. Original Tesseract system has 65.59% and 65.84% accuracies for 14 and 16 font sizes respectively, whereas the modified system, with reduced search space, gives 97.87% and 97.71% accuracies respectively. The efficiency is also improved from an average of 170 milliseconds (ms) to an average of 84 ms for the recognition of Nastalique document images.

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2014 11th IAPR International Workshop on Document Analysis Systems

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