DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-2, Issue-6 ( Jun, 2015 ) | |||||||||
Paper Title |
Automatic License Plate Recognition (ALPR) | |||||||||
Author Name |
Priya D. Devkate, Dhanashri R. Deosarkar, Ashwini B. Mhetre, S.S.Pattanaik | |||||||||
Affilition |
Dept. of Computer Engineering, JSPM’s Rajarshi Shahu College Engineering, University of Pune- 33 | |||||||||
Pages |
136-138 | |||||||||
Abstract |
Automatic License Plate Recognition(ALPR) extraction of car's license number plate from an image. The extracted information can be used with database in system for traffic surveillance. The ALPR uses either a color, black and white or infrared camera to take images only in JPEG and PNG format. The quality of the acquired images is a major factor in success in ALPR.ALPR as a real life application has to quickly and successfully process license plate under different environmental condition, such as indoors, outdoors, day. It should also be generalized to process license plates from different states. These plates usually contain different colors; some plates have a single color background and other have background images. The license plate can be partially occluded by dirt. In this paper, we present a comprehensive review of the maximum entropy algorithm for segmentation in ALPR. Keywords- Automatic license plate recognition (ALPR), automatic number plate recognition (ANPR), car plate recognition (CPR), optical character recognition (OCR) for cars. | |||||||||
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