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Android-based patrol robot featuring automatic license plate recognition

Hsin‐Fu Chen, Chang-Yun Chiang, Shih‐Jui Yang, Chian C. Ho

Year
2012
Citations
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.

Keywords

LicenseArtificial intelligenceAndroid (operating system)Computer visionComputer scienceEdge detectionCanny edge detectorFeature extractionAdaBoostHistogram of oriented gradients

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