Isolated Vietnamese Handwriting Recognition Embedded System Applied Combined Feature Extraction Method

被引：0
|
作者：
Thach Tran Van [1 ]
Phi Nguyen Huu [1 ]
Trang Hoang [1 ]
机构：
[1] Ho Chi Minh City Univ Technol VNU HCM, Ho Chi Minh City, Vietnam
来源：
2015 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC) | 2015年
关键词：
Handwriting recognition; feature extraction; Embedded Linux; Support Vector Machine;
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 this research, an embedded system approaching isolated Vietnamese handwriting upper case recognition is illustrated. Obtained results from experiments have experienced that proposed feature extraction method, a major step of complete character recognition scheme, combining contour profile and projection histogram techniques is superior to others. Furthermore, the full conceptual system performance is evaluated on the embedded system, namely BeagleBoard-xM board, to confirm that recognition probability is up to more 90% over 27000 characters over thirty different persons.
引用
收藏
页码：479 / 483
页数：5
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