• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.7
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• pp.1204-1209
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• 2001

According to the rapid development of information and communication, various services are offered using information and communication infrastructure for example e-commerce, internet banking, stock dealings, etc. This time, the most important problem is personal identification. But now secret number that is used to personal identification mostly can be misappropriated. To solve this problem, this paper proposes smart card identification system using 1 vs. 1 fingerprint matching. Information protection and security of smart card excel and use is convenient. And fingerprint becomes the focus of public attention in biometric field. Implemented system in this paper is based on PC. This system stores minutia that is fingerprint information into smart card and compare it with personal minutia. Therefore this system is sure to be on personal identification. If this system is applied to various services, safety degree of services will be enhanced.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.517-520
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• 2001

According to the rapid development of information and communication, various services are offered using information and communication infrastructure for example e-commerce, internet banking stork dealings, etc. This time, the most important problem is personal identification. But now secret number that is used to personal identification mostly can be misappropriated. To solve this problem, this paper proposes smart card identification system using 1 vs. 1 fingerprint matching. Information protection and security of smart card excel and use is convenient. And fingerprint becomes the focus of public attention in biometric field. Implemented system in this paper is based on PC. This system stores minutia that is fingerprint information into smart card and compare it with personal minutia. Therefore this system is sure to be on personal identification. If this system is applied to various services, safety degree of services will be enhanced.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.37 no.3
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• pp.12-26
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• 2000

In this paper, we propose a post-processing algorithm to remove false minutiae which decrease the overall performance of an automatic fingerprint identification system by increasing computational complexity, FAR(False Acceptance Rate), and FRR(False Rejection Rate) in matching process. The proposed algorithm extracts candidate minutiae from thinned fingerprint image. Considering characteristics of the thinned fingerprint image, the algorithm selects the minutiae that may be false and located in recoverable area. If the area where the selected minutiae reside is thinned incorrectly due to noise and loss of information, the algorithm recovers the area and the selected minutiae are removed from the candidate minutiae list. By examining the ridge pattern of the block where the candidate minutiae are found, true minutiae are recovered and in contrast, false minutiae are filtered out. In an experiment, Fingerprint images from NIST special database 14 are tested and the result shows that the proposed algorithm reduces the false minutiae extraction rate remarkably and increases the overall performance of an automatic fingerprint identification system.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.721-724
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• 2000

This paper presents fingerprint authentication method based on minutiae quadrangle definded by neighboring two Delaunay triangles. In this method, we first make minutiae triangle through Delaunay triangulation which adaptively connect neighboring minutiae according to the local minutiae density distribution, and then use feature vectors in authentication which is extracted from the minutiae quadrangle formed by neighboring two minutiae triangles. This prevents the degradation of matching ratio caused by the errors in image processing or local deformation of the fingerprint, and we can authenticate more discriminately as this method reflects wider local area's topological features than the features extracted from the individual minutiae triangles. To evaluate the proposed algorithm's performance, experiment are conducted on 120 fingerprints, of which size is 256 ${\times}$ 364 with 500dpi resolution. Robust authentications are possible with low FRR.

• Journal of Industrial Technology
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• v.24 no.A
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• pp.59-65
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• 2004

Personal identification using fingerprints needs much calculational effort. Generally, there are various methods for fingerprint-based identification. In this paper, an identification method is proposed which is based on direction distribution of fingerprint ridges. An 8-directional Gabor filter bank is used for extracting the feature vector from the given fingerprint. Then, it is compared with those of registered fingerprints for matching. This method is simple and fast to implement because it uses the information of ridge directions only. An experiment on 532 fingerprints from NIST database and some other source shows its usefulness.

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.143-151
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• 2010

Fingerprint classification is a step to increase the efficiency of an 1:N fingerprint recognition system and plays a role to reduce the matching time of fingerprint and to increase accuracy of recognition. It is difficult to classify fingerprints, because the ridge pattern of each fingerprint class has an overlapping characteristic with more than one class, fingerprint images may include a lot of noise and an input condition is an exceptional case. In this paper, we propose a novel approach to design a stochastic model and to accomplish fingerprint classification using a directional characteristic of fingerprints for an effective classification of various qualities. We compute the directional value by searching a fingerprint ridge pixel by pixel and extract a directional characteristic by merging a computed directional value by fixed pixels unit. The modified Markov model of each fingerprint class is generated using Markov model which is a stochastic information extraction and a recognition method by extracted directional characteristic. The weight list of classification model of each class is decided by analyzing the state transition matrixes of the generated Markov model of each class and the optimized value which improves the performance of fingerprint classification using GA (Genetic Algorithm) is estimated. The performance of the optimized classification model by GA is superior to the model before the optimization by the experiment result of applying the fingerprint database of various qualities to the optimized model by GA. And the proposed method effectively achieved fingerprint classification to exceptional input conditions because this approach is independent of the existence and nonexistence of singular points by the result of analyzing the fingerprint database which is used to the experiments.

• Journal of Oral Medicine and Pain
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• v.21 no.2
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• pp.351-367
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• 1996

In the field Of individual identification in forensic Science, if the body is charred, it is sometimes impossible to identify the morphologic changes and charred tissue such as blood, muscle and bone can not be identified by forensic microbiologic method such as DNA typing. So the author used the characteristics of teeth which is relatively firm compare to other organs and stable to external environment such as heat and also possess cells needed for the DNA typing. The author conducted the experiment on teeth to detect DNA related to individual identification regarding to temperature in which other charredorgans can not be detected. The experiment was done on 64 extracted third molars consisted of unheated ones, and heated teeth to $100^{\circ}C$, $150^{\circ}C$, $200^{\circ}C$ for 45 min, 90 min, and 120 min respectively and to $250^{\circ}C$ for 45 min. DNA was extracted from each tooth and amplified fragment length polymorphism procedure(AMP-FLPs) using polymerase chain reaction(PCR) was applied and observed for the matching DNA in HumTH01 and HumCD4 locus and the followings Are the results : 1. It was able to detect matching DNA in HumTH01 and HumCD4 locus in every teeth which no heating has been done. 2. It was able to detect matching DNA in HumTH01 and HumCD4 locus in every teeth heated to $100^{\circ}C$ for 45, 90 and 120 min. 3. It was able to detect matching DNA in HumTH01 and HumCD4 locus in teeth heated to $l00^{\circ}C$, $200^{\circ}C$ for 45, 90, 120 min. 4. It was impossible to detect matching DNA in HumTH01 and HumCD4 locus in teeth heated to $250^{\circ}C$. So, it is possible to extract DNA from teeth that otherwise can not be extracted from other organs in the charred body and it can be concluded that teeth are highly reliable and applicatable as forensic odontology for individual identification.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11a
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• pp.314-317
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• 2003

지문을 이용한 개인 인증 절차는 지문 형태 별로 구분하는 분류(classification) 과정과 본인임을 확인하는 정합(matching) 과정으로 구분할 수 있다. 지문의 분류와 정합을 위해서는 기존 연구들이 지문의 특징점 수와 방향성의 흐름 패턴에 의존한다. 본 논문에서는 방향성의 흐름 패턴을 이용한 중심점 추출에 초점이 맞춰져 있으며 추출된 중심점 정보는 현재 구현되어진 특징점 추출 정보와 연계해 정합을 위한 기준점으로 활용한다. 기준점을 축으로 생성되어진 직교좌표는 지문 영상의 상ㆍ하, 좌ㆍ우 위치 이동에 대한 영향을 최소화 시켜줌으로써 지문 정합의 정확도를 높여준다.

• The Journal of the Acoustical Society of Korea
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• v.31 no.4
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• pp.260-265
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• 2012

A robust audio fingerprinting method is presented based on segmentation boundaries. In order to obtain robustness against linear speed changes, fingerprint extraction and matching are synchronized with the segmentation boundaries. Experimental results show that the proposed method is also robust against other common audio processing steps including low bit-rate compression, equalization, and time-scale modification.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.136-144
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• 2010

Two types of informations are used for content-based video copy detection: spatial information and temporal information. The spatial information means content-based image fingerprint. This image fingerprint must have following characteristic. First, Extraction is simple. Second, pairwise independence for random selected two images. At last, Robust for modifications. This paper proposed image fingerprint method for contents based video copy detection. Proposed method's extraction speed is fast because this method's using block average, first order differentiation and second order differentiation that can be calculated add and minus operation. And it has pairwise independence and robust against modifications. Also, proposed method feature makes binary by comparisons and using coarse to fine structure, so it's matching speed is fast. Proposed method is verified by modified image that modified by VCE7's experimental conditions in MPEG7.