• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.273-278
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• 2008

Cars attaching new license plates are increasing after introducing the new format of car license plate in Korea. Therefore, a car new license plate recognition system is required for various fields using automatic recognition of car license plates, automatic parking management systems and arrest of criminal or missing vehicles. In this paper, we proposed an intelligent new car license plate recognition method for the various fields. The proposed method is as follows. First of all, an acquired color image from a surveillance camera is converted to a gray level image and binarized by block binarization method. Second, noises of the binarized image removed by morphological characteristics of cars and then license plate area is extracted. Third, individual characters are extracted from the extracted license plate area using Grassfire algorithm. lastly, the extracted characters are learned and recognized by a fuzzy ART algorithm for final car license plate recognition. In the experiment using 100 car images, we could see that the proposed method is efficient.

• Journal of Korea Multimedia Society
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• v.15 no.1
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• pp.166-178
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• 2012

Depending on the launch of the emotional generation, many researches developing the automobile preference color which reflects the preference color of the consumers are advanced. This study investigate preferred colors and emotional image of the car color reflecting the product design and consuming psychology. According to surveyed ages and gender, there are eight categories (women/20 's, 30 "s, 40 's, and 50 's and men/20 's, 30 "s, 40 's, and 50 's) based on the 30 persons. Preferred color is black, white, sky blue, purple, pink, and orange order. If black, white and gray are excluded, remained in the order of blue, yellow, and purple. There are big deferences on preference color when emotional preference color of cars is showed or not. Practically, the preference color is following in sensitivity. However the car image is recognized actually with conservativeness, they hesitates selection of the bright chromatic color car.

• Archives of design research
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• v.16 no.3
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• pp.371-380
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• 2003

Modern consumers expect the goods which is sewed more sensitive and emotional satisfaction. It is necessary to apply the knowledge of sensibility analysis to the design of car. The design of wheel for car is regarded as important because consumers want to have unique cars and spend on decorating their cars. This study is to understand the image of consumer's idea about the design of wheel for far through the sensibility analysis that is understood from a part of new design way. According to consumers'needs and emotion, the images of 'harmonious', 'fresh' and 'strong' are representative for the design of wheel for car. The wheel of spoke type stands for the image of 'harmonious', the wheel of mesh type for the image of 'fresh' and the wheel of dish type for the image of 'strong'. Therefore, the emotional image that consumers have of the product is extracted by the sensibility Analysis. In turn, the suggestion of a design direction that satisfies the consumers is possible.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2942-2950
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• 2010

Car black box helps to investigate the cause of accident by recording time, position and videos as well as shock information. In addition, the car black box need a function to support safe driving for preventing accident. The representative driving support function is a lane departure warning. In order to implement the function, it is necessary to carry out the image processing to detect the lane first. The image processing algorithm requires computational burden to handle so much data and complicated structure of algorithm. This paper describes the efficient image processing algorithm with relatively low amount of computation for car black box embedded platform to detect lanes from the real-time lane image.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.3
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• pp.446-457
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• 2017

This study surveys the usage and satisfaction of car seat covers, analyzes the satisfaction and luxuriousness of materials used and provides basic data on optimum car seat covers that improve consumer satisfaction, stability, and comfort, while driving. The survey was conducted on 150 people in their 20s to 60s with a car. Consequently, achromatic colored car seat covers were used most and the satisfaction with black was very high. Interior & exterior harmony and the pursued car image were considered important, this consumer psychology impacted the color selection for car seat covers. The satisfaction reasons were different according to materials. Genuine leather was highly regarded in interior & exterior harmony (20.8%), excellent seat sensation (17.7%), excellent tactile sensation (11.5%), and luxuriousness (8.5%). For artificial leather, interior & exterior harmony (16.5%) and easiness of stain removal (13.6%) was rated high and fabric had excellent seat sensation (12.3%) and economics (10.8%). The material, heated and ventilated device affected car seat cover satisfaction. The luxurious image of car seat covers was pursed and was perceived mainly with a sense of sight. Luxury car seat covers were mainly created with materials. Genuine leather and black car seat covers increased luxuriousness. For car seat covers, those with flexibility, excellent compressive elasticity, and thickness were perceived as luxurious.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.3
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• pp.168-174
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• 2017

Videos recorded on surveillance cameras or by car black boxes at night have distorted images due to illumination variation. Therefore, it is difficult to analyze morphological characteristics of objects, and it is limiting to use such distorted images as evidence in traffic accidents. Image restoration is performed by amplifying the brightness of nighttime images using linearized gamma correction to increase their contrast (which destroys visual information) and by minimizing degradation factors caused by irregular traveling.

• Journal of Intelligence and Information Systems
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• v.8 no.1
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• pp.87-101
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• 2002

In this paper, we proposes the car plate recognition and describe the parking control system using the proposed car plate recognition algorithm. The car plate recognition system using color information and fuzzy c-means algorithm consists of the extraction part of a car plate from a car image and the recognition part of characters in the extracted car plate. This paper eliminates green noise from car image using the mode smoothing and extract plate region using green and white information of RGB color. The codes of extracted plate region is extracted by histogram based approach method and is recognized by fuzzy c-means algorithm. For experimental, we tested 80 car images. We shows that the proposed extraction method is better than that from the color information of RGB and HSI, respectively. So, we can know that the proposed car plate recognition method using fuzzy c-means algorithm was very efficient. We develop the parking control system using the proposed car plate recognition method, which showed performance improvement by the experimental results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.1-8
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• 2016

We propose an adaptive histogram stretching algorithm for application to a car's personal recorder. The algorithm was used for pre-processing to detect the license plate region in an image from a personal recorder. The algorithm employs a Probability Density Function (PDF) and Cumulative Distribution Function (CDF) to analyze the distribution diagram of the images. These two functions are calculated using an image obtained by sampling at a certain pixel interval. The images were subjected to different levels of stretching, and experiments were done on the images to extract their characteristics. The results show that the proposed algorithm provides less deterioration than conventional algorithms. Moreover, contrast is enhanced according to the characteristics of the image. The algorithm could provide better performance than existing algorithms in applications for detecting search regions for license plates.

• Journal of Navigation and Port Research
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• v.28 no.8
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• pp.727-733
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• 2004

In the car license plate recognition system, it is very important to extract the part of the license plate from the car image. In this paper, I use ACL algorithm to extract the license plate image from car image. The ACL algorithm is used to color and luminance information, either. Therefore in this paper, suggested algorithm is called ACL algorithm The ACL algorithm uses color, luminance information and the rate of license plate information Each of these information are used to exact area of license plate. The result of experiment to extract the car license plate with ACL algorithm is 97% extraction rate. The result of experiment with ACL algorithm for the character region, character recognition is 92% extraction rate.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.452-473
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• 2018

This study analyzed the expressions of racing girl uniforms that promote automobile brands shown at Seoul and Busan motor shows. The results are as follows. In each of the design components expression, the glossy and plain material, the achromatic color, and the dress style appeared most frequently in the uniform design of both domestic and foreign automobile brands. In the fashion image expression, sexy image appeared the most, followed by modern image, romantic image, active image, elegance image and ethnic image. Based on the analysis results, the following expressive characteristics were identified: First, sexy images were used in uniform design to express the streamline and speedy feeling of a car metaphorically. Second, modern image, glossy material, and achromatic color were used for a uniform design to express advanced technology and the future orientation of an automobile. Third, fashion images that match the automobile type emphasized the brand image of the car. Fourth, some of the manufacturers that prevailed in the automobile market promoted several automobile brands exhibited with a unified uniform design that expressed the design philosophy and concept. As such, the motor show racing girl uniform contributed to promoting automobile brand identity and the automobile industry.