• Journal of Society of Preventive Korean Medicine
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• v.15 no.1
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• pp.117-130
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• 2011

Objectives : This study was performed to investigate the status of dual medical license holders who have both the medical doctor (MD) and the Korean medicine doctor (KMD) license in Korea, and provide basic data for developing the cooperational strategy between conventional western medicine and traditional Korean medicine. Methods : The questionnaires on the general characteristics and working status were developed and administered for both dual license holders and medical students with MD or KMD license. The data of 187 persons were collected and analyzed. Results : Mean age of dual medical license holders is $42.28{\pm}6.54$ and most of them are male(86.0%). 75.2% of them obtained MD license first. However among the students who had MD or KMD license, 73.7% had KMD license. The mean time for obtaining the additional license was $10.11{\pm}4.905$ year. Forty nine dual license holders are opening both medical clinic and Korean medicine clinic. Conclusions : To promote the role of dual license holders for collaborating traditional Korean medicine and western medicine, developing an integrative medical curriculum should be enhanced, and the studies investigating the practice characteristics, and self-consciousness of dual license holders are required.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1166-1174
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• 2017

In general, the detection of the vehicle license plate is a previous step of license plate recognition and has been actively studied for several decades. In this paper, we propose an algorithm to detect a license plate area of a moving vehicle from a video captured by a fixed camera installed on the road using the Convolution Neural Network (CNN) technology. First, license plate images and non-license plate images are applied to a previously learned CNN model (AlexNet) to extract and classify features. Then, after detecting the moving vehicle in the video, CNN detects the license plate area by comparing the features of the license plate region with the features of the license plate area. Experimental result shows relatively good performance in various environments such as incomplete lighting, noise due to rain, and low resolution. In addition, to protect personal information this proposed system can also be used independently to detect the license plate area and hide that area to secure the public's personal information.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1256-1259
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• 2002

In this paper, we have proposed license plate recognition system for multi-national vehicle license plate using geometric features along with hybrid and seven segment pattern vectors. In the proposed system, we suggested to find horizontal and vertical relation after going through preparation process with inputted real-time license plate image of Korea and Japan, and then to classify license plate with using characteristic and geometric information of license plates. It classifies the extracted license plate images into letters and numbers, such as local name, local number, classification character and license consecutive numbers, and recognize license plate of Korea and Japan by applying hybrid and seven segments pattern vectors to classified letter and number region. License plate extraction step of the proposed system uses width and length information along with relative rate of Korean and Japanese license plate. Moreover, it exactly segmentation by letters with using each letter and number position information within license plate region, and recognizes Korean and Japanese license plates by applying hybrid and seven segment pattern vectors, containing characteristics related to letter size and movement within segmented letter area. As the result of testing the proposed system in real experiment, it recognized regardless of external lighting conditions as well as classifying license plates by nations, Korea and Japan. We have developed a system, recognizing regardless of inputted structural character of vehicle licenses and external environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1114-1125
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• 2013

License Plate Detection (LPD) is a key component in automatic license plate recognition system. Despite the success of License Plate Recognition (LPR) methods in the past decades, the problem is quite a challenge due to the diversity of plate formats and multiform outdoor illumination conditions during image acquisition. This paper aims at automatical detection of car license plates via image processing techniques. In this paper, we proposed a real-time and robust method for license plate detection using Heuristic Energy Map(HEM). In the vehicle image, the region of license plate contains many components or edges. We obtain the edge energy values of an image by using the box filter and search for the license plate region with high energy values. Using this energy value information or Heuristic Energy Map(HEM), we can easily detect the license plate region from vehicle image with a very high possibilities. The proposed method consists two main steps: Region of Interest (ROI) Detection and License Plate Detection. This method has better performance in speed and accuracy than the most of existing methods used for license plate detection. The proposed method can detect a license plate within 130 milliseconds and its detection rate is 99.2% on a 3.10-GHz Intel Core i3-2100(with 4.00 GB of RAM) personal computer.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.792-795
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• 2006

In this paper, we propose a method of vehicle license plate recognition on PDA for illegal parking car regulation. we classified three kinds of vehicle license plates being used down to date since the introduction of each vehicle license Plate using features of each one. And we recognized vehicle license plates segmentation the AreaName, the AreaCode, the TypeCharacter and the Numbers. A 88.7% recognition accuracy was obtained through the experiment of the proposed vehicle license plate recognition system using the obtained images of PDA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.10
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• pp.3490-3507
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• 2014

License plate detection (LPD) is one of the most important aspects of an automatic license plate recognition system. Although there have been some successful license plate recognition (LPR) methods in past decades, it is still a challenging problem because of the diversity of plate formats and outdoor illumination conditions in image acquisition. Because the accurate detection of license plates under different conditions directly affects overall recognition system accuracy, different methods have been developed for LPD systems. In this paper, we propose a license plate detection method that is rapid and robust against variation, especially variations in illumination conditions. Taking the aspects of accuracy and speed into consideration, the proposed system consists of two stages. For each stage, Haar-like features are used to compute and select features from license plate images and a cascade classifier based on the concatenation of classifiers where each classifier is trained by an AdaBoost algorithm is used to classify parts of an image within a search window as either license plate or non-license plate. And it is followed by connected component analysis (CCA) for eliminating false positives. The two stages use different image preprocessing blocks: image preprocessing without adaptive thresholding for the first stage and image preprocessing with adaptive thresholding for the second stage. The method is faster and more accurate than most existing methods used in LPD. Experimental results demonstrate that the LPD rate is 98.38% and the average computational time is 54.64 ms.

• Journal of Korea Multimedia Society
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• v.18 no.10
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• pp.1172-1179
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• 2015

A wireless license plate region extracting module is proposed for LPR system controlling multiple gates. This module is cheaply implemented using Raspberry Pi which is open source and high performance. First, as the upper 1/3 of the captured image is discarded as it has no useful information on license plate. Using the OpenCV libraries the edge image is got by Canny algorithm after applying Gaussian filtering to gray image, and the labeling is conducted for 4 consecutive numbers in license plate. These numbers are located using various decision equations, and expanding the numbers region the final license plate region can be extracted. The result image is transferred to Server using wifi direct. Using the proposed module it becomes easy to set up and maintain the LPR system. The experimental results showed that the successful extracting rate was 98.4% using 500 car images with 640 × 480 resolution.

• The Korean Journal of Food And Nutrition
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• v.26 no.2
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• pp.234-241
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• 2013

The purpose of this research was to suggest a category and level of national examination for dietitian's license and provide basic data for the development of national examination question by analyzing the current states on the curriculum of national examination for the dietitian's license and correlation with the current states on curriculum and national examination for the dietitian's license. The higher the current states on curriculum, the lower absentee rate and failing rate of the national examination for the dietitian's license. The higher the current states on curriculum, the higher pass rate of the national examination for the dietitian's license. Also, the current states on curriculum were positive relationship with correct answer rates. The higher the educational system, the higher the current states on curriculum. The educational system was negative relationship with the current states on curriculum of 'public health', 'advanced nutrition', 'food science', 'principles of culinary', and 'food sanitary law (p<0.05)'. The correct answers rates of 'institutional foodservice' were significantly positive relationship with the current states on curriculum of 'institutional foodservice (p<0.01)', 'foodservice organization (p<0.01)', 'food sanitation (p<0.05)', and 'practice in foodservice institutions (p<0.01)'. The pass rate was significantly positive relationship with the correct answer rates of 'institutional foodservice (p<0.01)', 'physiology (p<0.01)', 'biochemistry (p<0.01)', 'food sanitary law (p<0.01)', 'food science and preparation (p<0.05)', 'nutrition education (p<0.01)', 'nutrition (p<0.01)', and 'total score (p<0.05)'.

• Journal of Navigation and Port Research
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• v.32 no.10
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• pp.845-850
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• 2008

In this paper, we propose a license plate locating algorithm by using SVM. Tipically, the features regarding license plate format include height-to-width ratio, color, and spatial frequency. The method is dived into three steps which are image acquisition, detecting license plate candidate regions, verifying the license plate accurately. In the course of detecting license plate candidate regions, color filtering and edge detecting are performed to detect candidate regions, and then verify candidate region using Support Vector Machines(SVM) with DCT coefficients of candidates. It is possible to perform reliable license plate location bemuse we can protect false detection through these verification process. We validate our approach with experimental results.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.5
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• pp.588-598
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• 2012

The aim of this study is to reflect on the issues of the National Medical Services Law for Korean medicine practitioners (KM practitioners) in Korea, especially those discussed at the Assembly plenary session in 1951. In 1951, the National Assembly wanted to establish the National Medical Services Law (國民醫療法) replacing the colonial medical services law (朝鮮醫療令). Consequently the National Assembly passed the law establishing the license level of KM practitioners equal to that of Western practitioners. But the progress of establishing the law was not easy. There was much dispute over the KM practitioners system amongst the legislators at the Assembly plenary session in 1951. One of the main dispute was about setting the license level of KM practitioners. There were two main positions. One insisted that the license level of KM practitioners should be equal to that of Western practitioners. They had many reasons to support their contended point. From a historical, social, economical, medical and institutional point of view, they argued that the people had needed the KM and thus the new founded Korea had to reflect this situation. The other insisted that the license level of KM practitioners should be below that of Western practitioners. The reason was mainly that the KM was not scientific. This study concludes that the argument of the former was superior to the latter in quantity and quality.