• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.156-158
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• 2021

An initial local government center received direct asking from citizens, wrote the documents by hand, and issued them. Later the appearance of computers, printers, and faxes made it possible to handle civil complaints through copying. Since 2010, as the e-government has started, entering civil service requests into computers after identification by themselves and printing the results has become established. In addition, with the introduction of unmanned administrative services, civil services become available in various places, which causes the increased satisfaction of citizens. One of the services is an unmanned civil service issuing machine, and more than 20 kinds of documents, including a copy of resident registration, can be issued directly. Of course, additional help may be needed if citizens are not familiar with the latest technologies. However, the unmanned civil service issuing machine is a highly satisfactory way in that it is less time-limited as citizens can visit a community center or city hall after the end of work. However, the main problem is that resident registration numbers and fingerprint recognition are required depending on the type of issuance, which increases the inconvenience of handling citizen complaints and is shunned. To solve this problem, we aim to study a method for improving the fingerprint recognition method of unmanned civil service issuing machines by expanding personal identification.

• Korean Security Journal
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• no.61
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• pp.377-400
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• 2019

Photography is the most commonly used method of documenting the crime and incident scene as it helps maintaining chain of custody (COC) and prove integrity of the physical evidence. It can also capture phenomena as they are. However, digital images can be manipulated and lose their authenticity as admissible evidence. Thus only limited techniques can be used to enhance images, and one of them is Fourier transform. Fourier transform refers to transformation of images into frequency signals. Fast Fourier transform (FFT) is used in this study. In this experiment, we overlapped fingerprints with graph paper or other fingerprints and separated the fingerprints. Then we evaluated and compared quality of the separated fingerprints to the original fingerprints, and examined whether the two fingerprints can be identified as same fingerprints. In the case of the fingerprints on graph paper and general pattern-overlapping fingerprints, fingerprint ridges are enhanced. On the other hand, in case of separating complicated fingerprints such as core-to-core overlapping and delta-to-delta overlapping fingerprints, quality of fingerprints can be deteriorated. Quality of fingerprints is known to possibly bring negative effects on the credibility of examiners. The result of this study may be applicable to other areas using digital imaging enhancement technology.

• Food Science of Animal Resources
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• v.27 no.2
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• pp.209-215
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• 2007

In order to develop a sensitive and reliable method for the species-specific molecular markers, PCR-RFLP assay of the mitochondrial DNA(mt DNA) 12S rRNA gene was exploited for the identification of the origin of animal meat species including cattle, pig, sheep, goat, horse, deer, chicken, duck and turkey. A specific primer pairs were designed, based on the nucleotide sequences of mt 12S rRNA gene, for the amplification of the highly conserved region in the gene of the animal species using PCR-RFLP technique. mt DNA was isolated from meat samples followed by DNA amplification using PCR with the specific primers. PCR amplification produced an approximately 455 bp fragment in each of these animal meats. To distinguish pleat species, the PCR amplicons were digested with restriction endonucleases Tsp5091 and MboI, respectively, which generates distinct RFLP profiles. The DNA profiles digested with Tsp5091 allowed the clear discrimination in the mammalian meat species and the DNA profiles digested with MboI in poultry meat species. Therefore, the PCR-RFLP profiles of mt 12S rRNA gene could be very useful to identify the origin of the raw materials in the raw meats as well as the processed meat products.

• Journal of Wetlands Research
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• v.14 no.3
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• pp.419-428
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• 2012

Taxonomic identification of phytoplankton has been a difficult task, even for the experienced taxonomist. Many non-descript, yet abundant, phytoplanktons do exist without distinguishing features which cause difficulties in morphological identification. Using PCR(polymerase chain reaction)-DGGE(denaturing gradient gel electrophoresis)method, which is known to be a powerfulfingerprinting technique to analyze diversity and dynamics of microbial populations, this study aimed to find the way to overcome the limitation of morphological identification. As a result, a total of 46 bands from samples in five lakes were detected in September and 27 bands in November. Fingerprinting results showed convenient and comparative analyses among each sampling site. In this study, PCR-DGGE method was used to figure out diversity and dynamics of plankton community in the lakes of North-Han River system. Also, the possibility of DGGE technique as an identification tool for phytoplankton was estimated.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.3
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• pp.247-254
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• 2006

Biometrics are getting more and more attention in recent years for security and other concerns. So far, only fingerprint recognition has seen limited success for on-line security check, since other biometrics verification and identification systems require more complicated and expensive acquisition interfaces and recognition processes. Hand-Geometry can be used for biometric verification and identification because of its acquisition convenience and good performance for verification and identification performance. It could also be a good candidate for online checks. Therefore, this paper proposes a Hand-Geometry recognition system based on geometrical features of hand. From anatomical point of view, human hand can be characterized by its length, width, thickness, geometrical composition, shapes of the palm, and shape and geometry of the fingers. This paper proposes thirty relevant features for a Hand-Geometry recognition system. This system presents verification results based on hand measurements of 20 individuals. The verification process has been tested on a size of $320{\times}240$ image, and result of the verification process have hit rate of 95% and FAR of 0.020.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.521-526
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• 2015

Research on how to use the biological characteristics of human to confirm the identity of the individual is being actively conducted. Electrocardiogram(: ECG) based biometric system is difficult to counterfeit and does not cause skin irritation on the subject. It can be easily combined with conventional biometrics such as fingerprint and face recognition to give multimodal biometric systems. In this thesis, biometric identification method analysing ECG waveform characteristics from Discrete Wavelet Transform(DWT) coefficients is suggested. Feature selection is performed on the 9 coefficients of DWT using the correlation analysis. The verification is achieved by using the error back propagation neural networks. Using the proposed approach on 24 subjects of MIT-BIH QT Database, 98.88% verification rate has been obtained.

• Journal of IKEEE
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• v.6 no.1 s.10
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• pp.10-20
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• 2002

The purpose of this work is to develop a system fer rapid and automatic identification of persons, with high reliability and confidence levels. The iris of the eye is used as an optical fingerprint, having a highly detailed pattern that is unique for each individual and stable over many years. Image analysis algorithms find the iris in a image, and encode its texture into an iris code. Iris texture is extracted from the image at multiple scales of analysis by wavelet transformation. The features of many different parts of the iris are projected onto the space-frequency space. They are used to determine an abstract iris code which is similar to 2D barcode. Pattern recognition is achieved by using modified CPN.

• Mycobiology
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• v.31 no.4
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• pp.235-247
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• 2003

In order to investigate biodiversity and establish identification system for Phytophthora spp. in Korea, a variety of band pattern was produced by using the URP(universal rice primer). The fingerprint patterns of Phytophthora spp. showed many common and variable fragments according to their isolates in distinct genotypes. In particular, P. drechsleri was classified into four distinct types(I to IV). P. drechsleri(KACC 40498 and KACC 40499) and P. cryptogea(KACC 40413) appeared to have almost equal bands despite their being different species. Ninety isolates of Phytophthora spp. were clustered into 13 groups based on UPGMA(unweighted pair group method with arithmetic means) analysis. These DNA fingerprinting data would be helpful for inter- and intra-species identification of Phytophthora species.

• Journal of Microbiology
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• v.42 no.1
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• pp.9-13
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• 2004

Culture-independent approaches, based on 16S rDNA sequences, are extensively used in modern microbial ecology. Sequencing of the clone library generated from environmental DNA has advantages over fingerprint-based methods, such as denaturing gradient gel electrophoresis, as it provides precise identification and quantification of the phylotypes present in samples. However, to date, no method exists for comparing multiple bacterial community structures using clone library sequences. In this study, an automated method to achieve this has been developed, by applying pair wise alignment, hierarchical clustering and principle component analysis. The method has been demonstrated to be successful in comparing samples from various environments. The program, named CommCluster, was written in JAVA, and is now freely available, at http://chunlab.snu.ac.kr/commcluster/.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.111-114
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• 2006

특징점(minutiae)에 기반한 정합 방식은 간결하고 계산이 쉬워서 가장 널리 사용되는 반면 동일한 지문의 두 입력 사이에서 발생할 수 있는 여러 가지 왜곡들을 고려해야 한다. 본 논문에서는 이러한 왜곡들을 줄이고 포인트 패턴을 이용하여 고속 지문정합 알고리즘을 설계하였으며 1:N정합에 적합한 알고리즘이다. 특징점 추출 알고리즘에서 구한 특징점에 직교좌표의 정보를 조합한 특징점들 중에서 정합을 시도하려는 두 개 특징점 데이터 집합에 대하여 지역 정합을 시도하여 지역 정합된 특징점의 비율이 임계값을 넘어가면 전역 정합을 시도하여 정합 점수를 결정하고 가장 높은 정합수를 얻은 지문 데이터를 결정한다.