TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Multi-Style License Plate Recognition System using K-Nearest Neighbors |
| 영문제목(English Title) |
Multi-Style License Plate Recognition System using K-Nearest Neighbors |
| 저자(Author) |
Soungsill Park
Hyoseok Yoon
Seho Park
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| 원문수록처(Citation) |
VOL 13 NO. 05 PP. 2509 ~ 2528 (2019. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
There are various styles of license plates for different countries and use cases that require style-specific methods. In this paper, we propose and illustrate a multi-style license plate recognition system. The proposed system performs a series of processes for license plate candidates detection, structure classification, character segmentation and character recognition, respectively. Specifically, we introduce a license plate structure classification process to identify its style that precedes character segmentation and recognition processes. We use a K-Nearest Neighbors algorithm with pre-training steps to recognize numbers and characters on multi-style license plates. To show feasibility of our multi-style license plate recognition system, we evaluate our system for multi-style license plates covering single line, double line, different backgrounds and character colors on Korean and the U.S. license plates. For the evaluation of Korean license plate recognition, we used a 50 minutes long input video that contains 138 vehicles of 6 different license plate styles, where each frame of the video is processed through a series of license plate recognition processes. From two experiments results, we show that various LP styles can be recognized under 50 ms processing time and with over 99% accuracy, and can be extended through additional learning and training steps.
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| 키워드(Keyword) |
license plate recognition
license plate structure classification
multi-style license plate
k-nearest neighbor
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| 파일첨부 |
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