• Journal of the Institute of Convergence Signal Processing
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• v.5 no.4
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• pp.243-248
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• 2004

Automatic fingerprint identification is a process of direction extraction, binarization, thinning, minutiae extraction of fingerprint identification. In this process, binarization after direction extraction affects a process of thinning and minutiae extraction. The fasle binarization is increased the false minutiae extraction rate. In this paper, we proposed more exact minutiae extraction algorithm with more enhanced binarization method, compared with traditional binarization process. We could have more enhanced results by using the direction and the half distance between ridges as the threshold of binarization process. In an experiment, Fingerprint images from NIST DBI are tested and the result shows that the proposed binarization algorithm increases minutiae extraction.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.457-460
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• 2000

본 연구는 HWT를 이용하여 인체상반신 영상에서 얼굴부위만을 분할하기 위한 알고리즘을 제안하였다. 제안한 알고리즘은 배경을 제거하기 위하여 인체 상반신영상을 2치화 영상으로 만들고, HWT를 적용하여 평균영상과 복원영상에서 고립점, 돌출부위, 경계중복점을 제거한 후 세선화과정을 통하여 경계검출을 수행한다. 다음으로 얼굴부위의 단순경계만을 갖는 마스크를 만들고, 원영상에 마스킹하여 효과적으로 얼굴부위만을 분할한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.37-40
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• 2012

본 논문에서는 지문 인식 시스템의 인식을 위한 등록점으로 융선의 단점과 분기점에 관하여 연구하였다. 원 지문 영상은 전처리 과정을 거치게 되면서 잘못된 특징점을 포함하게 되며 이는 지문 인식 시스템의 효율성을 감소시키는 원인이 될 수 있다. 이 논문에서는 세선화된 지문 영상으로부터 후보 특징점을 추출한 후 연결성 탐색 정보를 이용하여 의사 특징점을 제거할 수 있는 알고리즘을 제안한다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.261-264
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• 2000

본 논문에서는 이동 통신용 단말기에 주로 사용되는 RF-chip inductor의 자동 외관검사를 위한 시스템 개발에 필요한 알고리즘을 제안하였다. 본 논문에서 제안한 방법은 영상취득 후 처리과정에서 동적 이진화 방법, 가산투영 등 영상처리에 관련된 방법을 이용해 코일 부분과 코어부분을 분리한 후 세선화 방법, 라벨링 방법 등을 적용하여 분리된 코일부분에 대해 코일의 감긴 회수와 피치간격의 불균일 검사를 수행하고 기준값 이상의 오차를 갖는 소자를 불량으로 처리하는 보다 개선된 처리방법을 제안하였으며 모의실험을 통해 성능을 검증하였다.

• Journal of KIISE:Software and Applications
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• v.37 no.11
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• pp.859-865
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• 2010

In this paper, a new method for finger vein recognition is proposed. Researchers are recently interested in the finger vein recognition since it is a good way to avoid the forgery in finger prints recognition and the inconveniences in obtaining images of the iris for iris recognition. The vein images are processed to obtain the line shaped vein images through the local histogram equalization and a thinning process. This thinned vein images are processed for matching, using a new matching algorithm, named HS(HeeSung) matching algorithm. This algorithm yields an excellent recognition rate when it is applied to the curve-linear images processed through a thinning or an edge detection. In our experiment with the finger vein images, the recognition rate has reached up to 99.20% using this algorithm applied to 650finger vein images(130person ${\times}$ 5images each). It takes only about 60 milliseconds to match one pair of images.

• The Transactions of the Korea Information Processing Society
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• v.7 no.10
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• pp.3155-3163
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• 2000

In the recognitionsystem of car license plate, it is very important to extract the character from the license plate and recognize the extrated character. In this paper, I use the adaptive algorithm to recognize the charactor of licensse plate image. The adaptive algorithm is compounded of thinning algorithm template matching,algarthm, vector algorithm and so on. The adaptive algorithm was used to recognize the character from license image. In the result of expenment, character recognition is about up to 90% with the adaptive algorithm for the character region.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.245-248
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• 2000

자동차 번호판 인식 시스템에서 가장 중요한 요소는 자동차 이미지 영역에서 번호판 영역을 추출, 추출된 영역에서 문자 추출, 추출된 문자의 인식 등의 과정이다. 본 논문은 자동차 번호판 인식 과정에서 적응 알고리즘을 이용하여 보다 정확한 인식이 될 수 있도록 한다. 본 논문에서 사용하는 적응 알고리즘은 기존의 방식과는 달리 특정한 알고리즘을 이용한 인식을 하지 않고 다양한 알고리즘을 이용한 인식 결과의 조합으로 최적의 해법을 찾는다. 번호판 인식을 위한 적응 알고리즘은 원형 정합 알고리즘, 벡터 알고리즘, 세선화 알고리즘 등이다. 적응 알고리즘을 이용한 실험 결과 자동차 이미지에 대해서 90% 이상 인식이 가능함을 확인할 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.705-711
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• 2011

This paper proposes an effective algorithm of license plate recognition for industrial applications. By applying Canny edge detection on a vehicle image, it is possible to find a connected rectangular, which is a strong candidate for license plate. The color information of license plate separates plates into white and green. Then, OTSU binary image processing and foreground neighbor pixel propagation algorithm CLNF will be applied to each license plates to reduce noise except numbers and letters. Finally, through labeling, numbers and letters will be extracted from the license plate. Letter and number regions, separated from the plate, pass through mesh method and thinning process for extracting feature vectors by X-Y projection method. The extracted feature vectors are compared with the pre-learned weighting values by backpropagation neural network to execute final recognition process. The experiment results show that the proposed license plate recognition algorithm works effectively.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.1
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• pp.50-57
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• 2002

This paper is the study about the improvement of the WPTA4 algorithm available for the recognition of various characters. The WPTA4 algorithm can extract the skeleton of a character almost similar to the original pattern by using the connection value representing connectivity of each pixel. In this paper we show that the skeleton disappearance phenomena existing in the WPTA4 and propose an modified algorithm which can eliminate this phenomena. The proposed algorithm shows that the skeleton disappearance phenomena is eliminated and the quality of extracted skeleton is excellent.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.375-382
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• 2002

Handwritten character recognition is classified into on-line handwritten character recognition and off-line handwritten character recognition. On-line handwritten character recognition has made a remarkable outcome compared to off-line hacdwritten character recognition. This method can acquire the dynamic written information such as the writing order and the position of a stroke by means of pen-based electronic input device such as a tablet board. On the contrary, Any dynamic information can not be acquired in off-line handwritten character recognition since there are extreme overlapping between consonants and vowels, and heavily noisy images between strokes, which change the recognition performance with the result of the preprocessing. This paper proposes a method that effectively extracts the stroke including dynamic information of characters for off-line Korean handwritten character recognition. First of all, this method makes improvement and binarization of input handwritten character image as preprocessing procedure using watershed algorithm. The next procedure is extraction of skeleton by using the transformed Lu and Wang's thinning: algorithm, and segment pixel array is extracted by abstracting the feature point of the characters. Then, the vectorization is executed with a maximum permission error method. In the case that a few strokes are bound in a segment, a segment pixel array is divided with two or more segment vectors. In order to reconstruct the extracted segment vector with a complete stroke, the directional component of the vector is mortified by using right-hand writing coordinate system. With combination of segment vectors which are adjacent and can be combined, the reconstruction of complete stroke is made out which is suitable for character recognition. As experimentation, it is verified that the proposed method is suitable for handwritten Korean character recognition.