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An Approach to Recognize Bangla Digits from Digital Image

机译:一种从数字图像识别孟加拉数字的方法

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摘要

Pattern recognition is important in converting digital document image into electronic document. Today there are some OCR softwares to read the documents from scanned papers. We have designed a process to recognize the Bangla digits from digital images. Bangla digits are discrete when they are used in documents to write numbers. Each character has its own shape and design. We have used these characteristics of Bangla digits to recognize them from digital images. We have applied different morphological operation and segmentation techniques to separate each digit or character from the image. Then we have just drawn a single bit outline of the character, and generated a sequence based on the traversing path of the border outline. Then we applied a longest common subsequence operation between the generated sequence of the character and the pre-defined sequence of the 10 digits and detected the unknown Bangla digit. This is a sequence-based method.
机译:模式识别对于将数字文档图像转换为电子文档很重要。今天,有一些OCR软件可以从扫描的纸张中读取文档。我们设计了一种从数字图像中识别孟加拉数字的过程。孟加拉数字在文档中用于写数字时是离散的。每个角色都有自己的形状和设计。我们已使用孟加拉数字的这些特征从数字图像中识别它们。我们应用了不同的形态学运算和分割技术来将每个数字或字符从图像中分离出来。然后,我们仅绘制了字符的单个轮廓,并根据边框轮廓的遍历路径生成了一个序列。然后,我们在生成的字符序列和10位数字的预定义序列之间应用了最长的公共子序列操作,并检测到未知的Bangla数字。这是基于序列的方法。

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