Review on OCR for Handwritten Indian Scripts Character Recognition

被引：0
|
作者：
Kumar, Munish [1 ]
Jindal, M. K. [2 ]
Sharma, R. K. [3 ]
机构：
[1] GCS Coll Women, Dept Comp Sci, Chandigarh, India
[2] Panjab Univ Regional Ctr, Dept Comp Sci & Appl, Muktsar, India
[3] Thapar Univ, Sch Math & Comp Appl, Patiala, Punjab, India
来源：
ADVANCES IN DIGITAL IMAGE PROCESSING AND INFORMATION TECHNOLOGY | 2011年 / 205卷
关键词：
OCR; Handwritten character recognition; online; offline; Indian scripts; SEGMENTATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Natural language processing and pattern recognition have been successfully applied to Optical Character Recognition (OCR). Character recognition is an important area in pattern recognition. Character recognition can be printed or handwritten. Handwritten character recognition can be offline or online. Many researchers have been done work on handwritten character recognition from the last few years. As compared to non-Indian scripts, the research on OCR of handwritten Indian scripts has not achieved that perfection. There are large numbers of systems available for handwritten character recognition for non-Indian scripts. But there is no complete OCR system is available for recognition of handwritten text in any Indian script, in general. Few attempts have been carried out on the recognition of Devanagari. Bangla, Tamil. Oriya and Gurmukhi handwritten scripts. In this paper, we presented a survey on OCR of these most popular Indian scripts.
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页码：268 / +
页数：3
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