• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.359-362
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• 2016

Face is an information unique to each person such as Iris, fingerprints, etc,. Research on face recognition are in progress continuously from the past to the present. Through these research, various face recognition methods have appeared. Among these methods, there are face recognition algorithms using the face data composed in stereo. In this paper, Convolutional Neural Network with Stereo Images as input was used for face recognition. This method showed better performance than the result of stereo face recognition using PCA that is used frequently in face recognition.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.556-557
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• 2018

About 350 shelters nationwide go through about 100,000 organic animals every year. If you are not adopted by the adoption candidate, you will be euthanized in just one out of every fourteen days after entering the shelter. Therefore, in order to prevent the occurrence of organic animals, it is necessary to register the companion animal easily and to register the inscription to manage the history. In this paper, we propose a local technician who can describe feature points in inscription images to develop recognition technology through inscription, which can distinguish companion animals such as human fingerprints.

• Journal of the Semiconductor & Display Technology
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• v.15 no.1
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• pp.27-32
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• 2016

A new lane detection algorithm is proposed for the analysis of DNA fingerprints from a polymerase chain reaction (PCR) gel electrophoresis image. Although several research results have been previously reported, it is still challenging to extract lanes precisely from images having abrupt background brightness difference and bent lanes. We propose an edge based algorithm for calculating the average lane width and lane cycle. Our method adopts sub-pixel algorithm for extracting rising-edges and falling edges precisely and estimates the lane width and cycle by using k-means clustering algorithm. To handle the curved lanes, we partition the gel image into small portions, and track the lane centers in each partitioned image. 32 gel images including 534 lanes are used to evaluate the performance of our method. Experimental results show that our method is robust to images having background difference and bent lanes without any preprocessing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.4
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• pp.854-860
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• 2004

The result of fingerprint matching is different as the quality or the state of input fingerprint image. We can extract the false direction information when the quality of fingerprint is degraded by the noise or the scars of the ridges. The information of the direction is very important for the elimination of the false minutia, the measurement of the ridge distance, matching, finding of cores and deltas. We need the method which can compensate or correct the false information of directions because the false directions include serious errors in the fingerprint recognition. We propose a method which can compensate or correct the false direction of fingerprint with a \alpha$-trimmed mean filter followed by LPF to reconstruct the false direction information when fingerprints are corrupted by scars.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.687-690
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• 2003

지식 정보화 시대에 들어서면서부터 정보는 개인이나 일부 기관에 국한됨이 없이 중요시되고 있지만, 그 경계는 나날이 모호해지고 정보의 양은 급속하게 늘어가고 있는 것이 오늘날의 현실이다. 이러한 시대적 환경은 보안의 중요성이 크게 부각되어 생체인식 기술에 대한 관심을 높아지게 만들었다. 생체인식(Biometrics)분야 중에서도 지문 인식(Recognition)은 많은 연구가 이루어졌으나 개선할 점이 여전히 남아있다. 특히, 정확성 및 속도향상이라는 측면이 그렇다고 할 수 있겠다. 본 논문에서는 기존의 지문 인증(Authentication)시스템의 지문 영상(Image)의 식별 능력을 증가시키고 다수의 지문 영상에서도 좋은 결과를 가져올 수 있는 고유한 특징이 될 수 있는 요소들(Factor)을 추출하여 진보된 지문인식 시스템을 구현하는 것을 궁극적인 목표로 하고 있다. 따라서, 지금까지의 관련 연구를 바탕으로 지문 인식 시스템을 구현하는 것을 궁극적인 목표로 하고 있다. 따라서. 지금까지의 관련 연구를 바탕으로 지문 인식 시스템의 성능 향상을 위해서 핵심적인 minutiae reference point, 방향 정보의 추출 방법을 제안하고 인식의 종결부라고 할 수 있는 정합(matching)에 관에서 논한 다음, 마지막으로 결론 및 향후 과제로서 개선할 부분을 제시한다.

• Microbiology and Biotechnology Letters
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• v.48 no.2
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• pp.138-147
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• 2020

Various microorganisms play important roles in food fermentation, food spoilage, and agriculture. In this study, the biotype of 54 yeast and bacterial strains having high potential for utilization in food and agriculture, including Candida spp., Lactobacillus spp., and Acetobacter spp., were characterized by matrix-assisted laser desorption/ionization time-of flight mass spectrometry (MALDI-TOF MS). This characterization using a fast and robust method provides much-needed information on the selected microorganisms and will facilitate effective usage of these strains in various applications. Importantly, the unique protein profile of each microbial species obtained from this study was used to create a database of fingerprints from these species. The database was validated using microbial strains of the same species by comparing the mass spectra with the created database through pattern matching. The created reference database provides crucial information and is useful for further utilization of a large number of valuable microorganisms relevant to food and agriculture.

• Analytical Science and Technology
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• v.24 no.1
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• pp.45-50
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• 2011

While the crime scene investigation, evidences are found to search with the naked eyes and to use science equipments. Crime evidences, which are used as judgement, have various things: blood, sperm, saliva, hair, fingerprint, fiber, soil, paint, and so on, especially, fingerprints could take through crime scene investigation, and in there, it could distinguish individually. In this case study, sort of leathers: a wallet, a belt, and a sofa, which are needed special identification even thought people experience easily in usual day, are tried many of the identification tests. As a result, using fluorescent magnetic powder method or fluorescent powder method as identification of many leathers is most efficient.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.529-530
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• 2007

The paper considers the relation between on-line monitoring and diagnostics on the one hand and high-voltage (HV) withstand and partial discharge (PD) on-site testing on the other. HV testing supplies the basic data (fingerprints) for diagnostics. In case of warnings by on-line diagnostic systems, off-line withstand and PD testing delivers the best possible information about defects and enables the classification of the risk. Because alternating voltage (AC) is the most important test voltage, the AC generation on site is considered. Frequency tuned resonant (ACRF) test systems are best adapted to on-site conditions. They can be simply combined with PD measuring equipment. The available ACRF test systems and their application to electric power equipment -from cable systems to power transformers - is described.

• Korean Journal Plant Pathology
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• v.14 no.2
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• pp.164-170
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• 1998

This study was carried out to develop DNA probe for specific detection of Erwinia carotovora subsp. carotovora. Universal rice primer (URP, 20 mer) developed from repetitive sequence of rice was applied for producing PCR DNA fingerprints of Erwinis spp. In E. carotovora subsp. carotovora strains, primer URP2F amplyfied polymorphic bands which are distinguisable from other Erwinia spp. A PCR band of 0.6 kb selected from PCr polymorphic bands of E. carotovora subsp. carotovora strains was cloned and evaluated as a diagnostic DNA probe. Among 28 bacterial strains including 22 Erwinia spp, the probe (pECC2F) only hybridized to total DNAs from e. carotovora subsp. carotovora strains and E. carotovora subsp. wasabiae, but sizes of hybridized bands were different between these subspecies, 10.0 kb and 3.5 kb respectively. In dot blot assays using probe pECC2F, as few as 103 colony forming units (CFU) of E. carotovora subsp. carotovora could be detected in a suspension containing about 1$\times$103 CFU of soil bacteria.

• Journal of KIISE:Software and Applications
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• v.26 no.11
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• pp.1350-1358
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• 1999

이 논문에서는 유전밴드 영상신호에 포함되어 있는 지형적 특징을 이용하여 밝기의 변화가 일정하지 않은 유전밴드를 인식하는 방법을 연구하였다. 유전밴드는 동일인을 식별하는데 있어서 지문보다 높은 신뢰성을 가지고 있으므로, 유전밴드 영상에서 유전밴드의 유무와 위치를 자동적으로 검출하는 것은 매우 중요하다. 레인내의 밝기의 변화가 일정한 유전밴드는 미분연산자에 의해 검출할 수 있지만, 밝기의 변화가 일정하지 않은 레인내의 유전밴드는 일반적인 인식방법에 의해서는 검출하기 어렵다. 따라서 유전밴드 영상으로부터 지형적 특징을 추출하고, 이것으로부터 계산한 곡률(curvature)의 크기에 의해 유전밴드를 인식함으로써 레인의 밝기가 변화하는 경우에도 효과적으로 인식하였다.Abstract This paper presents recognition of DNA band using the topographical features of DNA band images. The DNA band provides a more reliable way of identification than fingerprints. Recognition based on differentiation operators can easily detect the DNA band if the brightness of lane in the image is almost uniform. When the brightness of the lane changes gradually, the DNA bands are hard to be recognized. Using the curvature magnitude of the lane computed from topographic features extracted from DNA images, the DNA bands are efficiently recognized in the lane whose brightness changes.