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슬라브 제품 정보 인식을 위한 문자 분리 및 문자 인식 알고리즘 개발
최성후(SungHoo Choi),윤종필(Jong Pil Yun),박영수(YoungSu Park),박지훈(JeeHoon Park),구근휘(KeunHwi Koo),김상우(Sang Woo Kim) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.4
This paper describes about the printed character segmentation and recognition system for slabs in steel manufacturing process. To increase the recognition rate, it is important to improve success rate of character segmentation. Since Slabs' front area surface are not uniform and surface temperature is very high, marked characters not only undergo damages but also have much noise. On the other hand, since almost marked characters are very thick and the space between characters is only about 10 ~ 15 ㎜, there are many touching characters. Therefore appropriate character image preprocessing and segmentation algorithm is needed. In this paper we propose a multi-local thresholding method for damaged character restoration, a modified touching character segmentation algorithm for marked characters. Finally a effective Multi-Class SVM is used to recognize segmented characters.
Text Localization using Valid Optical Flow for Recognition of Slab Numbers
SeungBo Shim,SungHoo Choi,SangWoo Kim 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
The goal of this study is to develop a new algorithm to determine the placement of text in images using two consecutive frames. The algorithm consists of two steps: detection of top and bottom boundaries (TBB) and determination of left and right boundaries (LRB) of the texts. For accurate detection of the LRB, several algorithms are proposed in this paper. First, morphological and geometrical information of the letters is used to identify TBB. Next, coarse LRB are determined using an optical flow, which is rendered by the combined methods of Lucas/Kanade and Horn/Schunck algorithms in video sequences. Finally, the texts are localized from the image based on optical flow field information. Experimental results of the text localization have 95.7 % recall. The algorithm is developed in a module and can hence be embedded in a steel product management system easily.
프레임간의 운동방향을 고려한 tracking을 통해 동영상의 feature 추출
심승보(Seungbo Sim),최성후(Sunghoo Choi) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
These days, object recognition has been developed and used in many industrial area. To automate assembly line or identification of the slab numbers which are serial number written on iron, object recognition is very useful and efficient. However, object recognition is very sensitive to noise, illumination, scale and so on. Therefore, success of the object recognition depends on consideration of such external factors. It means that there is no absolute solution which makes an object recognition success in all cases. In industrial area. especially. it is very difficult to recognize something using image processing and video because environment of the industrial area is very poor. The most important thing that is needed to recognize an object using a camera is invariance of the environment and image quality. Most industrial area. nevertheless, few facilities are provided to enhance in variance of the illumination and image quality where the camera is installed. That is the reason why a new algorithm is needed to cope with the poor environment. Consequently this, paper presents a new algorithm which is little sensitive to environment using hams corner, codebook and histogram algorithm.
Detection of Line Defects in Steel Billets Using UndecimatedWavelet Transform
Jong Pil Yun,SungHoo Choi,Yong-ju Jeon,Doo-chul Choi,Sang Woo Kim 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In this paper, we present a new detection algorithm for line defects of scale-covered steel billets. Because of the presence of scales on the billet surface, features of surface images such as brightness and textures are non-uniform. To minimize the influence of scales and to improve the accuracy of detection, a new detection method based on undecimated wavelet transform is proposed. The vertical projection profile of subimage with high-frequency information produced by undecimated wavelet transform is used to detect the line defects. Experimental results conducted on billets surface image from actual steel production line show that the proposed algorithm is capable of detecting line defects on billet surface.
구근휘(Keunhwi Koo),최성후(SungHoo Choi),윤종필(Jong Pil Yun),최종현(JongHyun Choi),김상우(Sang Woo Kim) 대한전기학회 2009 전기학회논문지 Vol.58 No.4
Character recognition system consists of four step; text localization, text segmentation, character segmentation, and recognition. The character segmentation is very important and difficult because of noise, illumination, and so on. For high recognition rates of the system, it is necessary to take good performance of character segmentation algorithm. Many algorithms for character segmentation have been developed up to now, and many people have been recently making researches in segmentation of touching or overlapping character. Most of algorithms cannot apply to the text regions of management number marked on the slab in steel image, because the text regions are irregular such as touching character by strong illumination and by trouble of nozzle in marking machine, and loss of character. It is difficult to gain high success rate in various cases. This paper describes a new algorithm of character segmentation to recognize slab management number marked on the slab in the steel image. It is very important that pre-processing step is to convert gray image to binary image without loss of character and touching character. In this binary image, non-touching characters are simply separated by using vertical projection profile. For separating touching characters, after we use combined profile to find candidate points of boundary, decide real character boundary by using method based on recognition. In recognition step, we remove noise of character images, then recognize respective character images. In this paper, the proposed algorithm is effective for character segmentation and recognition of various text regions on the slab in steel image.