• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.3
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• pp.11-25
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• 2009

Fingerprint sample quality is one of major factors influencing the matching performance of fingerprint recognition systems. The error rates of fingerprint recognition systems can be decreased significantly by removing poor quality fingerprints. The purpose of this paper is to assess the effectiveness of individual sample quality measures on the performance of minutiae-based fingerprint recognition algorithms. Initially, the authors examined the various factors that influenced the matching performance of the minutiae-based fingerprint recognition algorithms. Then, the existing measures for fingerprint sample quality were studied and the more effective quality measures were selected and compared with two image quality software packages, (NFIQ from NIST, and QualityCheck from Aware Inc.) in terms of matching performance of a commercial fingerprint matcher (Verifinger 5.0 from Neurotechnologija). The experimental results over various Fingerprint Verification Competition (FVC) datasets show that even a single sample quality measure can enhance the matching performance effectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.59-69
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• 2008

The purpose of this paper is to measure the level of difficulty of fingerprint database based on sample quality. This paper proposes distribution of a sample quality analyzer and a difference of sample quality analyzer to measure the level of difficulty. Experimental results demonstrate that there are stronger correlation between matching performance and level of difficulty based on difference of sample quality than other measure. Especially, level of difficulty based on OQ Block of MPQ co-occurrence matrix shows highest correlation with matching performance, and moreover it can predict the matching performance of unknown databases.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.29-40
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• 2007

The purpose of this research is to propose a method for scoring the quality of a fingerprint image using the local information derived from the fingerprint image. In previous works for the quality measuring, most of the quality scores are related to the performance of a matching algorithm, and this makes the quality result more subjective. The quality score of a fingerprint image proposed in this work is sensor-independent, source-independent and matcher-independent one, and this concept of fingerprint sample quality results in effective improvement of the system performance. In this research, a new definition of fingerprint image quality and a new method for measuring the quality are proposed. For the experiments, several sub-databases from FVCs are used and the proposed method showed reasonable results for the test database. The proposed method can be used in various systems for the numerous purposes since the quality scores generated by the proposed method are based on the idea that the quality of fingerprint should be sensor-independent, source-independent and matcher-independent.

• Journal of Information Processing Systems
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• v.12 no.1
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• pp.83-99
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• 2016

The latest research on the image-based fingerprint matching approaches indicates that they are less complex than the minutiae-based approaches when it comes to dealing with low quality images. Most of the approaches in the literature are not robust to fingerprint rotation and translation. In this paper, we develop a robust fingerprint matching system by extracting the circular region of interest (ROI) of a radius of 50 pixels centered at the core point. Maximizing their orientation correlation aligns two fingerprints that are to be matched. The modified Euclidean distance computed between the extracted orientation features of the sample and query images is used for matching. Extensive experiments were conducted over four benchmark fingerprint datasets of FVC2002 and two other proprietary databases of RFVC 2002 and the AITDB. The experimental results show the superiority of our proposed method over the well-known image-based approaches in the literature.

• 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.

• Korean Journal of Medicinal Crop Science
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• v.14 no.2
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• pp.117-123
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• 2006

The purpose is to study the identification method of Huangjinju powder for injection and the medicinal materials by the fingerprint off-ray Diffraction Fourier (XRDF). We used the same method on both the studying of Huangjinju and the medicinal materials. Then we selected a few components alignment to compare. We analyzed the data by setting up the deviation $d({\AA})$ as ${\pm}0.05$ to calculate the rate of special mark on the sample (Px) and on the patent (P). The special XRDF of Huangjinju$[d({\AA})/(I/I_0)]$ have 5 peaks that have not expressed in medicinal materials. Therefore Px is 22.73%. Flos Trollii Chinensis has 3 special marks and Px is 17.65%. Flos Chrysanthemi Indici has 1 special mark and Px is 3.57%. Its coincided interplanar spacing with the patent is $2.907{\AA}$. Flos Lonicerae Japonicae has 6 special marks and Px is 23.08%. Its special mark in the patent are 4.95/14 and 4.50/15, respectively. The P is 9.09%. Its coincided interplanar spacing with the patent is $2.910{\AA}\;and\;3.05{\AA}$, respectively. The number of special XRDF mark peaks of baicalin is 9 and Px is 18.37%. Its coincided interplanar spacing with the patent is $2.910{\AA}$. It has visible mark and specificity adopting XRDF fingerprint to identify Huangjinju and medicinal materials. Establishing the quality standard is a synthetic index that depends both on special marks in the medicinal materials of the patent and on the coincidence peak data.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.21-22
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• 2000

Expressed sequence tags (EFTs) are the partial segments of cDNA produced from 5 or 3 single-pass sequencing of cDNA clones, error-prone and generated in highly redundant sets. Advancement and expansion of Genomics made biologists to generate huge amount of ESTs from variety of organisms-human, microorganisms as well as plants, and the cumulated number of ESTs is over 5.3 million, As the EST data being accumulate more rapidly, it becomes bigger that the needs of the EST analysis tools for extraction of biological meaning from EST data. Among the several needs of EST analyses, the extraction of protein sequence or functional motifs from ESTs are important for the identification of their function in vivo. To accomplish that purpose the precise and accurate identification of the region where the coding sequences (CDSs) is a crucial problem to solve primarily, and it will be helpful to extract and detect of genuine CD5s and protein motifs from EST collections. Although several public tools are available for EST analysis, there is not any one to accomplish the object. Furthermore, they are not targeted to the plant ESTs but human or microorganism. Thus, to correspond the urgent needs of collaborators deals with plant ESTs and to establish the analysis system to be used as general-purpose public software we constructed the pipelined-EST analysis system by integration of public software components. The software we used are as follows - Phred/Cross-match for the quality control and vector screening, NCBI Blast for the similarity searching, ICATools for the EST clustering, Phrap for EST contig assembly, and BLOCKS/Prosite for protein motif searching. The sample data set used for the construction and verification of this system was 1,386 ESTs from human intrathymic T-cells that verified using UniGene and Nr database of NCBI. The approach for the extraction of CDSs from sample data set was carried out by comparison between sample data and protein sequences/motif database, determining matched protein sequences/motifs that agree with our defined parameters, and extracting the regions that shows similarities. In recent future, in addition to these components, it is supposed to be also integrated into our system and served that the software for the peptide mass spectrometry fingerprint analysis, one of the proteomics fields. This pipelined-EST analysis system will extend our knowledge on the plant ESTs and proteins by identification of unknown-genes.