Template matching algorithm for Gujrati Character Recognition.

被引：0
|
作者：
Prasad, Jayashree R. [1 ]
Kulkarni, U. V. [2 ]
Prasad, Rajesh S. [1 ]
机构：
[1] Vishwakarma Inst Informat Technol, Pune, Maharashtra, India
[2] SGGS Inst Technol, Nanded, Maharashtra, India
来源：
2009 SECOND INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2009) | 2009年
关键词：
Correlation analysis; Handwritten Character Recognizer (HCR); Template classification; Template matching; Backpropagation learning; Cross-correlation coefficient; COMPUTER RECOGNITION; MACHINE RECOGNITION; OFF-LINE; SEGMENTATION; DOCUMENTS;
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：
at the dawn of the 3(rd) millennium, Human Handwriting Recognition is emerging from its infancy and set to become a mature technique. We shall probably see in the near future a number of mixed systems able to read both on-line and off-line handwriting. In this study we propose a simple yet robust structural solution for performing character recognition in Gujrati, the official language of Gujarat. Pursued by the preprocessing techniques, we suggest a method called template matching where a character is identified by analyzing its shape and comparing its features that distinguish each character. The algorithm appears to be very robust against stroke order variations and large shape variations. The results seem encouraging.
引用
收藏
页码：228 / +
页数：3
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