• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.6 no.1
• /
• pp.6-17
• /
• 2013

Recently, the color of vehicle license plate has been changed from green to white. Thus the vehicle plate recognition system used for parking management systems, speed and signal violation detection systems should be robust to the both colors. This paper presents a vehicle license plate recognition system, which works on both of green and white plate at the same time. In the proposed system, the image of license plate is taken from a captured vehicle image by using morphological information. In the next, each character region in the license plate image is extracted based on the vertical and horizontal projection of plate image and the relative position of individual characters. Finally, for the recognition process of extracted characters, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis) are sequentially utilized. In the experiment, vehicle license plates of both green background and white background captured under irregular illumination conditions have been tested, and the relatively high extraction and recognition rates are observed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.111-112
• /
• 2013

본 논문에서는 최근 증가하고 있는 차량의 질서 위반 행위 및 과태료 체납, 대포차 등에 대한 문제를 보다 효율적으로 해결하기 위하여 이동이 간편한 스마트 기기를 통하여 차량의 번호판을 인식하고 관리할 수 있는 시스템을 제시하고자 한다. 영상 촬영 기능과 데이터 전송 기능을 가지고 있는 휴대용 단말기를 소지한 사용자가 자동차의 번호판을 촬영했을 시 자동차 번호판을 인식하고 촬영된 영상과 차량 번호에 대한 데이터를 원격지 서버로 전송하여 차량 소유자에 대한 과태료 체납여부, 위반행위 등을 조회하여 해당 차량에 대한 정보 등을 신속하게 확인하고 현장에서 복합적으로 대응할 수 있는 시스템을 개발하고자 한다. 본 논문에서 제시할 주요한 기능은 영상처리를 통한 차량 번호판 인식과 인식된 차량 번호 정보와 번호판 영상 정보를 원격지 서버로 전송하여 정보를 관리 할 수 있는 시스템을 제시하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.11
• /
• pp.2277-2282
• /
• 2009

In this paper, we proposed a new recognition method can be used in application systems using morphological features, difference operators and ART2 algorithm. At first, edges are extracted from an acquired car image by a camera using difference operators and the image of extracted edges is binarized by a block binarization method. In order to extract license plate area, noise areas are eliminated by applying morphological features of new and existing types of license plate to the 8-directional edge tracking algorithm in the binarized image. After the extraction of license plate area, mean binarization and mini-max binarization methods are applied to the extracted license plate area in order to eliminated noises by morphological features of individual elements in the license plate area, and then each character is extracted and combined by Labeling algorithm. The extracted and combined characters(letter and number symbols) are recognized after the learning by ART2 algorithm. In order to evaluate the extraction and recognition performances of the proposed method, 200 vehicle license plate images (100 for green type and 100 for white type) are used for experiment, and the experimental results show the proposed method is effective.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.5 no.3
• /
• pp.304-308
• /
• 2010

In this paper, we propose a new method of recognizing the vehicle license plate using color space, morphological characteristics and ART2 algorithm. Morphological characteristics of old and/or new style vehicle license plate among the candidate regions are applied to remove noise areas using 8-directional contour tracking algorithm, then follow by the extraction of vehicle plate. From the extracted license plate area, plate morphological characteristics of each region are removed. After that, labeling algorithm to extract the individual characters are then combined. The classified individual character and numeric codes are applied to the ART2 algorithm for the learning and recognition. In order to evaluate the performance of our proposed extraction and recognition of vehicle license method, we have run experiments on 100 green plates and white plates. Experimental results shown that the proposed license plate extraction and recognition method was effective.

• Journal of the Korea Society of Computer and Information
• /
• v.8 no.4
• /
• pp.87-91
• /
• 2003

In this paper, a rotation invariant fingerprint identification system is implemented using the circular harmonic filter and phase only correlator. We extracted the phase component from input fingerprint image and correlate it with the circular harmonic filter of the reference fingerprint image by POC. The input image is obtained using a prism operating in the internal full reflection mode. Then the input image is transformed to two dimensional Fourier spectrum in optical way and the phase component is extracted using a digital system from the spectrum. Because composed of the optical system and digital algorithm, the proposed system has the advantages of the two technologies such as realtime parallel processing property of the optics and the flexibility of the digital system.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.11
• /
• pp.2645-2650
• /
• 2014

This paper researches on securing parking spaces and improving parking performance, by use of vehicle license plate investigation for average parking time and parking turnover ratio. Even though general surveys on vehicle license plate investigation are performed by the person, our survey is performed by the machine, CCTV. Unusually, our method checks average parking time and parking turnover ratio at time intervals of the survey. So, it is easy to check whether a parking lot is effectively used and its traffic flows smoothly or not. In our experiment, we exclude a method to recognize characters by use of 4-direction projection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.227-228
• /
• 2014

In this paper, a license plate investigation which is one of parking usage is performed. We survey research that should be given time interval using the camera without the observer. We assigned the investigation time interval to each of to each of the parking car, average parking duration is determined. Parking turnover, the number of vehicles of parking per hour per parking surface, is examined.