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Submitted
September 27, 2015
Accepted
September 27, 2015
Published
September 27, 2015
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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

Android License Plate Patrolling License Plate Recognition Robot.

Article Details

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Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal. 

Publishing License

This is an open-access article distributed under the terms of  Creative Commons License

 

How to Cite
Madhan, S., & Pradeep, M. (2015). IMAGE PROCESSING OF ANDROID-BASED PATROL ROBOT FEATURING AUTOMATIC LICENSE PLATE RECOGNITION. International Journal of Students’ Research in Technology & Management, 3(3), 296–301. https://doi.org/10.18510/ijsrtm.2015.336
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