Review on Feature Extraction Technique for Handwritten Marathi Compound Character Recognition

S. Golait, L. Malik
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引用次数: 3

Abstract

This paper give a short review on feature extraction technique for Handwritten Marathi Compound Character recognition. The ultimate goal of designing a handwriting recognition system with an accuracy rate of 100% is quite illusionary, because even human beings are not able to recognize every handwritten text without any doubt. Compound characters which are one of the features of Marathi script, derived from Devanagari, occur frequently in the script. Recognition of these characters faces challenges to the researchers due to their complex structure. This paper presents a different feature extraction techniques for recognition of unconstrained handwritten Marathi compound characters.
手写马拉地语复合字识别特征提取技术综述
本文综述了手写马拉地语复合字识别的特征提取技术。设计一个准确率100%的手写识别系统的最终目标是相当虚幻的,因为即使是人类也不可能毫无疑问地识别每一个手写文本。复合字是马拉地文字的特征之一,它起源于梵文,在马拉地文字中经常出现。由于这些字符的结构复杂,对其识别提出了挑战。提出了一种不同的特征提取技术,用于无约束手写马拉地语复合字的识别。
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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