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http://dx.doi.org/10.7471/ikeee.2017.21.2.142

A Licence Plate Recognition System using Hadoop  

Park, Jin-Woo (Dept. of Electrical and Electronics Engineering, Chung-Ang University)
Park, Ho-Hyun (Dept. of Electrical and Electronics Engineering, Chung-Ang University)
Publication Information
Journal of IKEEE / v.21, no.2, 2017 , pp. 142-145 More about this Journal
Abstract
Currently, a trend in image processing is high-quality and high-resolution. The size and amount of image data are increasing exponentially because of the development of information and communication technology. Thus, license plate recognition with a single processor cannot handle the increasing data. This paper proposes a number plate recognition system using a distributed processing framework, Hadoop. Using SequenceFile format in Hadoop, each mapper performs a license plate recognition with a number of image data in a data block Experimental results show that license plate recognition performance with 16 data nodes accomplishes speedup of maximum 14.7 times comparing with one data node. In large dataset, the recognition performance is robust even if the number of data nodes increases gradually.
Keywords
Licence plate recognition; ANPR; Hadoop; Big data; CCTV;
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