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首页> 外文期刊>Information Processing & Management >Off-line isolated handwritten Thai OCR using island-based projection with n-gram model and hidden Markov models
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Off-line isolated handwritten Thai OCR using island-based projection with n-gram model and hidden Markov models

机译：离线隔离的手写泰国OCR，使用基于岛的投影以及n-gram模型和隐马尔可夫模型

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Many traditional works on off-line Thai handwritten character recognition used a set of local features including circles, concavity, endpoints and lines to recognize hand-printed characters. However, in natural handwriting, these local features are often missing due to rough or quick writing, resulting in dramatic reduction of recognition accuracy, Instead of using such local features, this paper presents a method called multi-directional island-based projection to extract global features from handwritten characters. As the recognition model, two statistical approaches, namely interpolated n-gram model (n-gram) and hidden Markov model (HMM), are proposed. The experimental results indicate that the proposed scheme achieves high accuracy in the recognition of naturally-written Thai characters with numerous variations, compared to some common previous feature extraction techniques. Another experiment with English characters also displays quite promising results. (C) 2004 Elsevier Ltd. All rights reserved.
机译：许多关于离线泰式手写字符识别的传统作品都使用了一组局部特征，包括圆形，凹形，端点和线条来识别手写的字符。然而，在自然笔迹中，这些局部特征通常由于粗糙或快速书写而丢失，从而导致识别准确度大大降低。本文提出了一种称为多方向基于岛的投影方法来提取全局信息，而不是使用此类局部特征。手写字符的功能。作为识别模型，提出了两种统计方法，即内插n元语法模型（n-gram）和隐马尔可夫模型（HMM）。实验结果表明，与以前的一些常见特征提取技术相比，该方案在识别具有多种变化的自然书写泰语字符方面实现了较高的准确性。另一个使用英文字符的实验也显示出非常可观的结果。 （C）2004 Elsevier Ltd.保留所有权利。

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