自动化学报2005，Vol.31Issue(3)：359-364,6.
门牌识别系统中的鲁棒性分割方法
Robust Segmentation Method for Doorplate Recognition System
摘要
Abstract
Robot navigation based on character recognition is an effective vision method for compensating the disadvantage of ultrasonic and infrared sensors. A typical example of character recognition for mobile robot navigation is the doorplate recognition system. The captured doorplate images contain unexpected noise from irregular illumination conditions, various imaging angles, different 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.关键词
Robot navigation/doorplate recognition/segmentationKey words
Robot navigation/doorplate recognition/segmentation分类
信息技术与安全科学引用本文复制引用
洪义平,易建强,赵冬斌..门牌识别系统中的鲁棒性分割方法[J].自动化学报,2005,31(3):359-364,6.基金项目
Supported by Hundred Talents Project of Chinese Academy of Sciences （）
