• 정보처리학회논문지B
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• 제12B권2호
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• pp.123-130
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• 2005

본 논문에서는 형태정보를 이용한 지문인식 알고리즘의 단점인 오인식율을 최소화 하고, 출입관리 시스템에 적용이 가능하도록 블록별 화소방향성분을 이용한 지문의 동일성 판별 알고리즘을 제안하였다. 제안한 알고리즘은 지문영상을 16개의 블록으로 나누고 각각의 블록들에 대하여 $0^{\circ},\;45^{\circ},\;90^{\circ},\;135^{\circ}$의 방향성분을 갖는 총 64개의 특징 파라미터를 추출하였다. 그리고 추출된 기준지문과 입력지문의 특징 파라미터들에 대한 멤버쉽 함수를 계산하고, 퍼지 추론을 이용한 두 지문의 동일성을 판별하였다. 동일성 판별에 사용한 지문은 성인의 지문 중 성별, 모양에 관계없이 서로 다른 100개의 지문을 가지고 오인식율을 평가하였으며 100개의 지문을 각각 10개씩 추가로 입력받아 오거부율을 평가하였다. 실험결과 오인식율은 4,950회의 실험을 수행하였으며 평균 $0.34\%$를 나타내었고, 오거부율은 1,000회의 실험을 수행하였으며 평균 $3.7\%$ 결과를 나타내었다. 따라서 제안한 알고리즘이 인식율 및 보안성에서 뛰어난 성능을 나타냄을 알 수 있었다.

• 한국ITS학회 논문지
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• 제12권1호
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• pp.81-87
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• 2013

본 논문에서는 자동차 환경의 인포테인먼트 시스템을 위한 음악 검색 알고리즘을 제안한다. 제안된 방법은 음악신호의 로그 스펙트럼기반의 정점을 이용하여 오디오지문을 추출하고, 추출된 음악 핑거프린트에 해시값을 적용하여 클라우드 서버에 저장한다. 클라우드 서버에서는 사용자의 쿼리 음악과 클라우드 서버의 해시 테이블에 저장되어 있는 오디오 지문을 비교함으로써 가장 유사한 음악이 검색된다. 제안된 음악 검색 알고리즘의 성능평가를 위해, 주행 중인 자동차 내부에서 녹음한 잡음에 노출된 다양한 쿼리 음악의 길이에 따른 검색 결과의 정확도를 측정하였고, 해시 테이블의 저장 곡수에 따른 검색 소요 시간을 측정하였다.

• 대한의생명과학회지
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• 제13권4호
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• pp.369-374
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• 2007

A fingerprint is an impression of the friction ridges of all or any part of the finger. A friction ridge is a raised portion of the epidermis on the palmar (palm and fingers) or plantar (sole and toes) skin, consisting of one or more connected ridge units of friction ridge skin. There are two fundamental principles underlying the use of fingerprints as a means of identifying individuals - immutability and uniqueness. Friction ridges develop on the fetus in their definitive form before birth. Ridges are persistent throughout life except for permanent scarring. Ridge patterns and the details in small areas of friction ridges are unique and never repeated. Friction ridge patterns vary within limits, which allow for classification. We developed the high temperature-moisturizing method to obtained quality postmortem impressions from decomposing friction ridge skin. This technique is a simple procedure that uses boiling water to recondition the skin. This reconditioning process enhances detail present on the fingers and exposes ridge detail not visible to the naked eye. Therefore, we can recover the quality fingerprints, even from the worst decomposed bodies.

• Journal of Ginseng Research
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• 제41권3호
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• pp.339-346
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• 2017

Background: In this study, we investigated how to convert the Panax ginseng DNA sequence code and chemical fingerprints into a two-dimensional code. In order to improve the compression efficiency, GATC2Bytes and digital merger compression algorithms are proposed. Methods: HPLC chemical fingerprint data of 10 groups of P. ginseng from Northeast China and the internal transcribed spacer 2 (ITS2) sequence code as the DNA sequence code were ready for conversion. In order to convert such data into a two-dimensional code, the following six steps were performed: First, the chemical fingerprint characteristic data sets were obtained through the inflection filtering algorithm. Second, precompression processing of such data sets is undertaken. Third, precompression processing was undertaken with the P. ginseng DNA (ITS2) sequence codes. Fourth, the precompressed chemical fingerprint data and the DNA (ITS2) sequence code were combined in accordance with the set data format. Such combined data can be compressed by Zlib, an open source data compression algorithm. Finally, the compressed data generated a two-dimensional code called a quick response code (QR code). Results: Through the abovementioned converting process, it can be found that the number of bytes needed for storing P. ginseng chemical fingerprints and its DNA (ITS2) sequence code can be greatly reduced. After GTCA2Bytes algorithm processing, the ITS2 compression rate reaches 75% and the chemical fingerprint compression rate exceeds 99.65% via filtration and digital merger compression algorithm processing. Therefore, the overall compression ratio even exceeds 99.36%. The capacity of the formed QR code is around 0.5k, which can easily and successfully be read and identified by any smartphone. Conclusion: P. ginseng chemical fingerprints and its DNA (ITS2) sequence code can form a QR code after data processing, and therefore the QR code can be a perfect carrier of the authenticity and quality of P. ginseng information. This study provides a theoretical basis for the development of a quality traceability system of traditional Chinese medicine based on a two-dimensional code.

• 분석과학
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• 제21권3호
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• pp.212-221
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• 2008

사건현장에 잔류하는 잠재지문의 효과적인 탐색 및 감식을 위한 자료를 얻고자 비다공성 증거물에 잔류된 잠재지문의 지방산 조성분석을 실시하고 7개월간의 지문유류에 따른 조성 변화에 대하여 알아보고자 하였다. 지문시료는 한국인 29-50 세 남성 8인과 여성(36 세) 1명으로부터 제공받았다. 모든 지문에서는 lauric acid (C12:0), myristic acid (C14:0), palmitic acid (C16:0), stearic acid (C18:0), elaidic acid (C18:1n9t), oleic acid (C18:1n9c), linoleic acid (C18:2n6c), arachidic acid (C20:0), linolenic acid (C18:3n3), erucic acid (C22:1n9)와 docosadienoic acid (C22:2)의 11종의 지방산이 검출됨을 확인하였고, palmitic acid (35.45-48.37%), oleic acid (14.84-28.49%), stearic acid (9.71-24.96%)와 linoleic acid (7.68-18.85%)가 확인된 지방산조성의 75%이상을 차지하여 주요 구성성분임을 알 수 있었다. 또한 7개월간 온도 $20-25^{\circ}C$, 습도 40-50%의암실환경에서의장기간유류에따라총지방산의함량이 12-25% 감소하였으며, 이는 elaidic acid (C18:1n9t), arachidic acid (C20:0), linolenic acid (C18:3n3), erucic acid (C22:1n9), docosadienoic acid (C22:2)의 장쇄지방산들의 소실과 단쇄지방산인 myristic acid (C14:0), myristoleic acid (C14:1), pentadecanoic acid (C15:0)의 생성에 따른 결과임을 확인하였다.

• 대한수사과학회지
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• 제2권1호
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• pp.84-86
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• 2007

• International Journal of Control, Automation, and Systems
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• 제6권6호
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• pp.794-799
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• 2008

This paper presents a user identification method at H.264 streaming using watermarking with fingerprints. The watermark can efficiently reduce the potential danger of forgery or alteration. Especially a biometric watermark has convenient, economical advantages. The fingerprint watermark can also improve reliability of verification using automated fingerprint identification systems. These algorithms, however, are not robust against common video compression. To overcome this problem, we analyze H.264 compression pattern and extract watermark after restoring damaged watermark using various filters. The proposed algorithm consists of enhancement of a fingerprint image, watermark insertion using discrete wavelet transform and extraction after restoring. The proposed algorithm can achieve robust watermark extraction against H.264 compressed videos.

• 전자통신동향분석
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• 제35권1호
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• pp.25-33
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• 2020

Just as it is possible to distinguish people by using physical features, such as fingerprints, irises, veins, and faces, and behavioral features, such as voice, gait, keyboard input pattern, and signatures, the an IoT device includes various features that cannot be replicated. For example, there are differences in the physical structure of the chip, differences in computation time of the devices or circuits, differences in residual data when the SDRAM is turned on and off, and minute differences in sensor sensing results. Because of these differences, Sensor data can be collected and analyzed, based on these differences, to identify features that can classify the sensors and define them as sensor-based device DNA technology. As Similar to the biometrics, such as human fingerprints and irises, can be authenticatedused for authentication, sensor-based device DNA can be used to authenticate sensors and generate cryptographic keys that can be used for security.

• Asian-Australasian Journal of Animal Sciences
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• 제12권1호
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• pp.1-4
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• 1999

Beijing White Chickens laying larger eggs and smaller eggs were respectively used as parental individuals for mating to produce the F1 progeny and then the F1 progeny individuals mated to produce 125 individuals of the F2 progeny. Three bands associated with the egg weight performance were identified from DNA fingerprints of the 125 individuals generated with a bovine minisatellite probe BM6.5B. The simple linear correlation analysis showed that the coefficients of correlation between frequencies of the three bands (DB1, DB2 and DB3) and egg weights were -0.6, -0.6 and 0.9, respectively.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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• pp.901-904
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• 2000

A direct authentication from gray-scale image, instead of the conventional multi-step preprocessing, is proposed using Gabor filter-based features from the gray-scale fingerprint around core point. The core point is located as a reference point for the translation invariant matching. And its principal symmetry axis is detected for the rotation invariant matching from its neighboring region centered at the core point. And then fingerprint is divided into non-overlapping blocks with respect to the core point and features are directly extracted form the blocked gray level fingerprint using Gabor filter. The proposed fingerprint authentication is based on the Euclidean distance between the corresponding Gabor features of the input and the template fingerprints. Experiments are conducted on 300${\times}$300 fingerprints obtained from a CMOS sensor with 500 dpi resolution, and the proposed method could lower the False Reject Rate(FRR) to 18.2% under False Acceptance Rate(FAR) of 0%.