Class-Based Contextual Modeling for Handwritten Arabic Text Recognition

Irfan Ahmad, G. Fink
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引用次数: 14

Abstract

In this paper we will present our investigations related to contextual modeling for HMM-based handwritten Arabic text recognition. We will, first, discuss the justifications and the need for contextual modeling for handwritten Arabic text recognition. Next, we will discuss the issues related to contextual modeling for Arabic text recognition. Finally, we will present our novel class-based contextual modeling for HMM-based handwritten Arabic text recognition. Experiment results on word recognition tasks show improvements in word recognition rates when compared to using standard contextual HMMs. Moreover, the recognizers are significantly more compact as compared to the standard contextual HMM systems.
手写体阿拉伯文本识别的基于类的上下文建模
在本文中,我们将介绍与基于hmm的手写阿拉伯语文本识别的上下文建模相关的研究。首先,我们将讨论手写阿拉伯文本识别的理由和上下文建模的需要。接下来,我们将讨论与阿拉伯语文本识别的上下文建模相关的问题。最后,我们将介绍基于类的上下文建模,用于基于hmm的手写阿拉伯语文本识别。单词识别任务的实验结果表明,与使用标准上下文hmm相比,单词识别率有所提高。此外,与标准上下文HMM系统相比,识别器明显更加紧凑。
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