A SURVEY: CURSIVE HANDWRITING RECOGNITION TECHNIQUES

被引：0
|
作者：
UmeshChoudhary [1 ]
SampadaBhosale [1 ]
Bhise, Sonali [1 ]
Chilveri, Purushottam [1 ]
机构：
[1] Smt Kashibai Navale Coll Engn, Dept Elect & Telecommun, Pune, Maharashtra, India
来源：
2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT) | 2017年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In computer vision, recognition of cursive alphabets is a difficult and challenging task. Cursive alphabet recognition has its own importance within the field of bank cheques, American postcard, medical prescription letter, etc. The complexness of recognizing cursive alphabets lies within the stroke, inclination, size and the different handwriting styles. Here we have presented a survey on the recognition of cursive handwriting. Numerous methodologies are presented with their accuracy of recognition or recognition rate.
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页码：1712 / 1716
页数：5
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