| Robust Segmentation Method for Doorplate Recognition System |
| |
| 作者姓名： | HONG Yi-Ping YI Jian-Qiang ZHAO Dong-Bin |
| |
| 作者单位： | Laboratory of Complex Systems and Intelligence Science，Institute of Automation，Chinese Academy of Sciences，Beijing 100080 |
| |
| 基金项目： | Supported by Hundred Talents Project of Chinese Academy of Sciences |
| |
| 摘 要： | Robot navigation based on character recognition is an effective vision method for com- pensating the disadvantage of ultrasonic and infrared sensors.A typical example of character recog- nition for mobile robot navigation is the doorplate recognition system.The captured doorplate images contain unexpected noise from irregular illumination conditions,various imaging angles,dif- ferent imaging distances,etc.The unexpected noise may still exist after segmentation step.In this paper,a robust segmentation method based on speculating the candidates of the characters and feeding back the classification result to the segmentation process is presented.If the candidates of doorplate characters cannot be determined at the segmentation step,a speculation according to known knowledge is executed.The threshold for character extraction from candidates is adjusted when the corresponding character is rejected after classification.The experimental results indicate that the recognition results are effectively improved with the proposed segmentation method.
|
Robust Segmentation Method for Doorplate Recognition System |
| |
| HONG Yi-Ping YI Jian-Qiang ZHAO Dong-Bin.Robust Segmentation Method for Doorplate Recognition System[J].Acta Automatica Sinica,2005(3). |
| |
| Authors: | HONG Yi-Ping YI Jian-Qiang ZHAO Dong-Bin |
| |
| Abstract: | Robot navigation based on character recognition is an effective vision method for com- pensating the disadvantage of ultrasonic and infrared sensors.A typical example of character recog- nition for mobile robot navigation is the doorplate recognition system.The captured doorplate images contain unexpected noise from irregular illumination conditions,various imaging angles,dif- ferent imaging distances,etc.The unexpected noise may still exist after segmentation step.In this paper,a robust segmentation method based on speculating the candidates of the characters and feeding back the classification result to the segmentation process is presented.If the candidates of doorplate characters cannot be determined at the segmentation step,a speculation according to known knowledge is executed.The threshold for character extraction from candidates is adjusted when the corresponding character is rejected after classification.The experimental results indicate that the recognition results are effectively improved with the proposed segmentation method. |
| |
| Keywords: | Robot navigation doorplate recognition segmentation |
| 本文献已被 CNKI 等数据库收录！ |
