DocumentCode
612877
Title
Degraded License Plate Recognition system for town buses on highway
Author
Bing-Fei Wu ; Hao-Yu Huang ; Yen-Lin Chen ; Hsin-Yu Lin ; Tsu-Tian Lee ; Chao-Jung Chen
Author_Institution
Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2013
fDate
10-12 April 2013
Firstpage
446
Lastpage
450
Abstract
This study presented a Degraded License Plate Recognition (DLPR) to identify town buses on highway. Since the License Plates (LPs) of town buses are influenced by the external conditions and become hardly distinguished by the Optical Character Recognition (OCR) method. The proposed DLPR system adopts Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM)-for classification-based solution. The proposed system implements a two-level LPR, including LP localization and character recognition. For the recognition efficiency of the proposed system, two trained databases for LP localization and character recognition are reduced by the mathematical and feature-based approaches, respectively, and thus the searching time can be saved significantly. To certify the performance of recognizing the degraded LPs, the proposed system is demonstrated by physical degraded LP images, and thus the results reveal that the proposed system overcomes several degraded LP images with reasonable recognition accuracy.
Keywords
image classification; object recognition; road vehicles; statistical analysis; support vector machines; traffic engineering computing; DLPR system; HOG; LP localization; OCR method; SVM; classification-based solution; degraded license plate recognition system; feature-based approach; highway; histogram-of-oriented gradient; mathematical approach; optical character recognition; physical degraded LP image; recognition accuracy; support vector machine; town bus; Character recognition; Databases; Image recognition; Licenses; Support vector machine classification; Vectors; Histogram of Oriented Gradient (HOG); License Plate Recognition; Pattern Recognition; Support Vector Machine (SVM);
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on
Conference_Location
Evry
Print_ISBN
978-1-4673-5198-0
Electronic_ISBN
978-1-4673-5199-7
Type
conf
DOI
10.1109/ICNSC.2013.6548780
Filename
6548780
Link To Document