Android-based patrol robot featuring automatic license plate recognition

Hsin-Fu Chen, Chang-Yun Chiang, Shih-Jui Yang, C. C. Ho
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引用次数: 11

Abstract

This work develops an Android-based robot featuring automatic license plate recognition and automatic license plate patrolling. The automatic license plate recognition feature combines 4 self-developed novel methods, Wiener-deconvolution vertical edge enhancement, AdaBoost plus vertical-edge license plate detection, vertical edge projection histogram segmentation stain removal, and customized optical character recognition. Besides, the automatic license plate patrolling feature also integrates 3 novel methods, HL2-band rough license plate detection, orientated license plate approaching, and Ad-Hoc-based remote motion control. Implementation results show the license plate detection rate and recognition rate of the Android-based robot are over 99% and over 98%, respectively, under various scene conditions. Especially, the execution time of license plate recognition, including license plate detection, is only about 0.7 second per frame on the Android-based robot.
基于安卓系统的巡逻机器人,具有自动车牌识别功能
本课题开发了一种基于android的自动车牌识别和自动车牌巡逻机器人。车牌自动识别功能结合了4种自主开发的新方法,即Wiener-deconvolution垂直边缘增强、AdaBoost +垂直边缘车牌检测、垂直边缘投影直方图分割去污和定制光学字符识别。此外,车牌自动巡逻功能还集成了3种新颖的方法:hl2波段粗糙车牌检测、定向车牌逼近和基于ad - hoc的远程运动控制。实现结果表明,在各种场景条件下,基于android的机器人车牌检测率和识别率分别在99%以上和98%以上。特别是,在基于android的机器人上,车牌识别(包括车牌检测)的执行时间仅为每帧0.7秒左右。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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