• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.6
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• pp.909-921
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• 1995

The objective of this paper is to develop an algorithm for a real-time automatic fingerprint recognition system. The algorithm employs the Fast Fourier Transform (FFT) in determining the directions of ridges in fingerprint images, and utilizes statistical information in recognizing the fingerprints. The information used in fingerprint recognition is based on the dircetions along ridge curves and characteristic points such as core points and delta points. In order to find ridge directions, the algorithm applies the FFT to a small block of the size 8x8 pixels, and decides the directions by interpreting the resulted Fourier spectrum. By using the FFT, the algorithm does not require conventional preprocessing procedures such as smoothing, binarization, thinning, and restorationl. Finally, in matching two fingerprint images, the algorithm searches and compares two kinds of feature blocks, one as the blocks where the dircetions cannot be defined from the Fourier spectrum, and the other as the blocks where the changes of directions become abrupt. The proposed algorithm has been implemented on a SunSparc-2 workstation under the Open Window environment. In the experiment, the proposed algorithm has been applied to a set of fingerprint images obtained by a prism system. The result has shown that while the rate of Type II error - Incorrect recognition of two different fingerprints as the identical fingerprints - is held at 0.0%, the rate of Type I error - Incorrect recognition of two identical fingerprints as the different ones - is 2.2%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.10
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• pp.2317-2328
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• 1997

The objective of this paper is to develop an algorithm for a real-time automatic fingerprint recognition system. The algorithm employs the wavelet transform(WT) and the dominat local orientation that derived from the gradient Gaussian(GoG) and coherence in determining the directions of ridges in fingerprint images. By using the WT, the algorithm does not require conventional preprocessing procedures such as smothing, binarization, thining and restoration. For recognition, two fingerprint images are compared in three different ST domains;one that represents the original image compressed to quarter(LL), another that shows vertical directional characteristic(LH), and third as the block that contains horizontal direction(HL) in WT domain. Each block has dominat local orientation that derived from the GoG and coherence. The proposed algorithm is imprlemented on a SunSparc-2 workstation under X-window environment. Our simulation results, in real-time have shown that while the rate of Type II error-Incorrect recognition of two identical fingerprints as the identical fingerprints-is held at 0%, the rate of Type I error-Incorrect recognitionof two identical fingerprints as the different ones-is 2.5%.

• Analytical Science and Technology
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• v.28 no.1
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• pp.26-32
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• 2015

The consistency and homogeneity of repetitive printing of artificial fingerprint were evaluated using a visual minutiae comparison method and an Automated Fingerprint Identification System (AFIS). The standard latent fingerprint pattern was prepared by the printing of a master digital fingerprint pattern with an inkjet printer cartridge case filled with artificial sweat. The master digital fingerprint pattern was prepared with a scanning of an inked fingerprint pattern of a living subject. The intensities of the master digital fingerprint pattern were adjusted by changing the 'output level' values of the Adobe Photoshop CS 5 software. Number of standard latent fingerprint patterns were printed and then developed with conventional latent fingerprint developing methods; ninhydrin treatment method and 1,2-indandion(1,2-IND)/$ZnCl_2$ treatment method. The ridge details of the latent fingerprint patterns developed with the reagents were visually compared with the inked fingerprint pattern and could confirm that the minutiae of both patterns are visually identical. The ridge detail of the inked fingerprint and reagent developed standard latent fingerprint patterns were compared with an AFIS. The average number of minutiae searched by the AFIS was $52.4{\pm}2.4$ (range = 48~56) for 50 ninhydrin developed latent fingerprint patterns, and $50.2{\pm}1.9$ (range = 47~53) for 50 1,2-IND/$ZnCl_2$ developed latent fingerprint patterns. These low standard deviation values over 50 repetitive printing demonstrated that the 50 standard latent patterns were printed with consistent and homogeneous manner.

• The Korea Journal of Herbology
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• v.27 no.3
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• pp.15-21
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• 2012

Objective : This study aimed to compare the difference between $Angelica$ $decursiva$, Peucedanum $praeruptorum$ and $Anthriscus$ $sylvestris$ which have been used as herbal medicine, Jeonho (Angelicae Decursivae Radix) in Korea and provided the evidence to exclude $A.$ $sylvestris$ not to use as Joenho. Methods : The similarities of original medicinal herb with samples from local market were evaluated including morphological appearance and chromatographic fingerprint. In addition, relation between original medicinal herb and local samples were analyzed using statistical clustering methods. Results : $A.$ $decursiva$, $P.$ $praeruptorum$ and $A.$ $sylvestris$ represented different morphological appearances and chromatographic fingerprint. Several samples from China exhibited similar morphological and chromatographic appearance with $A.$ $decursiva$ or $P.$ $praeruptorum$. Eleven samples from Korea showed identical similarity to $A.$ $sylvestris$. Conclusions : Since $A.$ $sylvestris$ represented obvious differences compared to $A.$ $decursiva$ and $P.$ $praeruptorum$, it is required not to use $A.$ $sylvestris$ as medicinal herb, Jeonho. Additionally, exact identification and quality control must be applied to $A.$ $decursiva$ or $P.$ $praeruptorum$ from China in order to maintain therapeutical efficacy.

• Korean Journal of Veterinary Research
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• v.45 no.2
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• pp.199-205
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• 2005

DNA fingerprint patterns of 8 Brucella reference strains and 15 B. abortus field isolates were characterized by repetitive element sequence-based PCR (rep-PCR) using BOX- and ERIC-primers in this study. AMOS PCR differentiated all Brucella field isolates from B. abortus RB51, a vaccine strain by producing a B. abortus-specific 498 bp band. Rep-PCR using BOX-primer produced 13 to 18 bands with sizes of between 230 and 3,300 bp, and discriminated Brucella strains to the species level except B. canis and B. suis. PCR products amplified with ERIC primers were, however, not appropriate for differentiating the Brucella isolates. DNA fingerprint patterns for all B. abortus field isolates were identical among them and were put on one cluster with B. abortus biovar 1 reference strain in the dendrogram, indicating they were highly clonal. These results suggested that rep-PCR using BOX primer might to be a useful tool for calculating genetic relatedness among the Brucella species and for the study of brucellosis epidemiology.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.83-89
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• 2023

The clustering technique using RF fingerprint extracts the characteristic signature of the transmitters which are embedded in the transmission waveforms. The output of the RF-Fingerprint feature extraction algorithm for clustering identical DMR(Digital Mobile Radios) is a high-dimensional feature, typically consisting of 512 or more dimensions. While such high-dimensional features may be effective for the classifiers, they are not suitable to be used as inputs for the clustering algorithms. Therefore, this paper proposes a dimension reduction algorithm that effectively reduces the dimensionality of the multidimensional RF-Fingerprint features while maintaining the fingerprinting characteristics of the DMRs. Additionally, it proposes a clustering algorithm that can effectively cluster the reduced dimensions. The proposed clustering algorithm reduces the multi-dimensional RF-Fingerprint features using t-SNE, based on KL Divergence, and performs clustering using Density Peaks Clustering (DPC). The performance analysis of the DMR clustering algorithm uses a dataset of 3000 samples collected from 10 Motorola XiR and 10 Wintech N-Series DMRs. The results of the RF-Fingerprinting-based clustering algorithm showed the formation of 20 clusters, and all performance metrics including Homogeneity, Completeness, and V-measure, demonstrated a performance of 99.4%.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.6
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• pp.589-594
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• 2002

Natural clonal stock of triploid crucian carp, Carassius aurahs was identified and its cytogenetic, molecular genetic and morphological traits were studied. Cytogenetic analysis of the clonal crucian carp revealed that they were natural triploidy, evidenced by 1.5-fold increases of cell size, DNA content, and chromosome number. Multi-locus DNA fingerprinting using $(GATA)_4$ probe showed that they had an identical fingerprint profile, indicating the clonal propagation of the population. External morphology and morphometric characteristics of triploid individuals were much uniform compared to those of diploids. Natural triploid crucian carp was proven to be all-female in this study.

• Biomedical Science Letters
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• v.16 no.3
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• pp.197-200
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• 2010

All citizens over 17 year old living in Korea have to be fingerprinted to obtain a certificate of resident registration. For this reason, human identification through fingerprints has been used actively in crime scene investigation. The fingerprint is so unique that it is one of the most certain ways to identify oneself and it can differentiate between genetically identical twins. Fingerprints gained in crime scene indicate a direction of criminal investigation in conjecturing a suspect. Fingerprints help a reunion of family got scattered for a long time and make it possible to get a personal identification for missing person who met with natural calamity. We developed a new fingerprinting method using safranine O, so as to develop fingerprints on the adhesive tapes and non-porous papers in various physical environments. Results were compared to the preexisting fingerprinting method, the minutiae numbers of fingerprints were greatly increased in our newly developed safranine O fingerprinting method. This newly developed safranine O method showed a quantity and quality comparable to the preexisting fingerprinting method routinely used in these days. In our hands, the safranine O fingerprinting method is another easy and obvious choice when the forensic case sample is available for fingerprints on the adhesive tapes and non-porous papers.

• Parasites, Hosts and Diseases
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• v.33 no.4
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• pp.331-340
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• 1995

Interstrain polymorphisms of isoenzyme profiles and mitochondrial (Mt) DNA fingerprints were observed among seven strains of Acnnthnmoeba isolated from different sources and morphologically assigned to A. polvphngn. Mt DNA ringerprints by eight restriction endonucleases (Bgl II, Sca I, Cla I, EcoR I, Xbo I, Kpn I, Sal I, and Sst I) revealed considerable interstrain polymorphisms . Isoenzyme profiles revealed considerable interstrain polymorphisms for acid phosphatase, lactate dehydrogenase, and glucose-6- phosphate dehydrogenase while those for glucose phosphate isomerase , leucine aminopeptidase , and malate dehydrogenase showed similarity Despite of the interstrain polymorphisms, the isoengyme profiles and Mt DNA fingerprints of the strain Ap were found to be identical with those of the strain .tones . Mt DNA fingerprinting was found to be highly applicable for the strain identification, characterization, and differentiation. Key words: Acanthnmoebn polyphcga, interstrain polymorphism, isoenzyme profiles , Mt DNA fingerprints, strain differentiation, strain identification.

• Korean Journal of Microbiology
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• v.49 no.4
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• pp.377-382
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• 2013

The bacterial community structures of the marine sponge, Dactylospongia metachromia, collected from Chuuk of Micronesia on February 2012, were analyzed by denaturing gradient gel electrophoresis (DGGE). The DGGE fingerprints of two individuals of D. metachromia, CH607 and CH840 showed the same band patterns. The sequences derived from DGGE bands revealed 93~100% similarities with known bacterial species in the public database and high similarity with uncultured bacterial clones. The bacterial community structures of both D. metachromia sponges (CH607, CH840) were composed of 6 phyla, 8 classes: Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Acidobacteria, Actinobacteria, Chloroflexi, Cyanobacteria, Spirochaetes. DGGE fingerprint - based phylogenetic analysis revealed that the bacterial community profiles were identical in two individuals of the same sponge species collected from the same geographical location.