OSDT: Outer Shape Detection Technique for Recognition of Bangla Optical Character

Md. Al Imran, J. Hossain, T. Dey, B. K. Debroy, Ahsan Habib Abir
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引用次数: 2

Abstract

Optical Character Recognition is one of the challenging fields in recognition of printed Bangla text. The main difficulties are that there are no precise techniques or algorithms for separating lines, words, and characters from printed Bangla text and efficiently recognize these separate characters. In this paper, we introduce new methods to separate lines, words, and characters from printed Bangla text. We also propose Outer Shape Detection Technique (OSDT), a new technique to recognize each character based on its outer shape which is unique. To successfully accomplish this, proposed technique scans each character both from its left side and right side. Finally our experimental results are compared with some prevalent ones which precisely show that our approach performs smoothly on different font sizes and number of characters.
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面向孟加拉语光学字符识别的外形检测技术
光学字符识别是孟加拉文印刷文本识别的难点之一。主要的困难是没有精确的技术或算法来从印刷的孟加拉文本中分离行、词和字符,并有效地识别这些单独的字符。在本文中,我们介绍了从印刷孟加拉文本中分离行、词和字符的新方法。我们还提出了一种基于字符外部形状的识别新技术——外部形状检测技术(OSDT)。为了成功地做到这一点,所提出的技术从每个字符的左侧和右侧扫描。最后,将我们的实验结果与一些流行的实验结果进行了比较,准确地表明我们的方法在不同的字体大小和字符数下都能很好地执行。
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