Segmentation in Malayalam OCR — Handling broken characters using active contour model

M. Praseetha, S. Deepa
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Abstract

Character segmentation is a significant phase in an Optical Character Recognition (OCR) system. In this stage of OCR, the image of sequence of characters is decomposed into sub-images of individual symbols. The recognition of characters depends on this phase so that any mistake in the segmentation leads to a complete failure of the OCR system. One of the main reasons for incorrect segmentation of characters is the presence of broken characters in the input document. Here an approach based on Active Contour Model is proposed to solve this problem.
马来语OCR中的分割-使用活动轮廓模型处理破碎字符
字符分割是光学字符识别(OCR)系统中的一个重要环节。在OCR的这一阶段,字符序列图像被分解成单个符号的子图像。字符的识别依赖于这个阶段,因此分割中的任何错误都会导致OCR系统的完全失败。字符分割错误的主要原因之一是输入文档中存在断字符。本文提出了一种基于活动轮廓模型的方法来解决这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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