Segmentation techniques for handwritten script recognition system

C. Mathew, Ravindra Shinde, C. Y. Patil
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引用次数: 7

Abstract

Different scripts are used for writing purposes. It is very much important to identify/know these scripts before an appropriate character recognition algorithm is chosen. This paper deals mainly on the various segmentation techniques available for handwritten script recognition system. It is an important technique for image processing. Image segmentation provides meaningful objects of the image. Identification of a script in handwritten recognition system is really a challenging task in real world. Many researchers are indulged in the recognition of scripts from handwritten documents over four decades. This task becomes more and more challenging when it comes to multi lingual/script country like India. An input Image is preprocessed through various steps and segmented by different available techniques. This identification of script helps in optical Character Recognition systems (OCR).
手写体识别系统的分割技术
不同的脚本用于书写目的。在选择合适的字符识别算法之前,识别/了解这些脚本非常重要。本文主要讨论了用于手写体识别系统的各种分割技术。它是图像处理的一项重要技术。图像分割提供有意义的图像对象。在现实世界中,手写体识别系统中文字的识别是一项具有挑战性的任务。四十多年来,许多研究人员沉迷于从手写文件中识别文字。当涉及到像印度这样的多语言/多文字国家时,这项任务变得越来越具有挑战性。输入图像通过各种步骤进行预处理,并通过不同的可用技术进行分割。这种对文字的识别有助于光学字符识别系统(OCR)。
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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