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dc.contributor.authorWu, Bing-Feien_US
dc.contributor.authorHuang, Hao-Yuen_US
dc.contributor.authorChen, Yen-Linen_US
dc.contributor.authorLin, Hsin-Yuen_US
dc.contributor.authorLee, Tsu-Tianen_US
dc.contributor.authorChen, Chao-Jungen_US
dc.date.accessioned2014-12-08T15:33:11Z-
dc.date.available2014-12-08T15:33:11Z-
dc.date.issued2013en_US
dc.identifier.isbn978-1-4673-5200-0en_US
dc.identifier.issn1810-7869en_US
dc.identifier.urihttp://hdl.handle.net/11536/23068-
dc.description.abstractThis 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.en_US
dc.language.isoen_USen_US
dc.subjectcomponenten_US
dc.subjectLicense Plate Recognitionen_US
dc.subjectHistogram of Oriented Gradient (HOG)en_US
dc.subjectSupport Vector Machine (SVM)en_US
dc.subjectPattern Recognitionen_US
dc.titleDegraded License Plate Recognition System for Town Buses on Highwayen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)en_US
dc.citation.spage446en_US
dc.citation.epage450en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000326863700079-
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