• Title/Summary/Keyword: AFIS

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Evaluation of the consistency and homogeneity of artificial latent fingerprint printed with artificial sweat (인공땀으로 출력한 인공지문의 균질성 평가)

  • Hong, Ingi;Hong, Sungwook
    • 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.

A preliminary study and its application for the development of the quantitative evaluation method of developed fingerprints on porous surfaces using densitometric image analysis (다공성 표면에서 현출된 지문의 정량적인 평가방법 개발을 위한 농도계 이미지 분석을 이용한 선행연구 및 응용)

  • Cho, Jae-Hyun;Kim, Hyo-Won;Kim, Min-Sun;Choi, Sung-Woon
    • Analytical Science and Technology
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    • v.29 no.3
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    • pp.142-153
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    • 2016
  • In crime scene investigation, fingerprint identification is regarded to be one of the most important techniques for personal identification. However, objective and unbiased evaluation methods that would compare the fingerprints with diverse available and developing methods are currently lacking. To develop an objective and quantitative method to improve fingerprint evaluation, a preliminary study was performed to extract useful research information from the analysis with densitometric image analysis (CP Atlas 2.0) and the Automated Fingerprint Identification System (AFIS) for the developed fingerprints on porous surfaces. First, inked fingerprints obtained by varying pressure (kg.f) and pressing time (sec.) to find optimal conditions for obtaining fingerprint samples were analyzed, because they could provide fingerprints of a relatively uniform quality. The extracted number of minutiae from the analysis with AFIS was compared with the calculated areas of friction ridge peaks from the image analysis. Inked fingerprints with a pressing pressure of 1.0 kg.f for 5 seconds provided the most visually clear fingerprints, the highest number of minutiae points, and the largest average area of the peaks of the friction ridge. In addition, the images of the developed latent fingerprints on thermal paper with the iodine fuming method were analyzed. Fingerprinting condition of 1.0 kg.f/5 sec was also found to be optimal when generating highest minutiae number and the largest average area of peaks of ridges. Additionally, when the concentration of ninhydrin solution (0.5 % vs. 5 %) was used to compare the developed latent fingerprints on print paper, the best fingerprinting condition was 2.0 kg.f/5 sec and 5 % of ninhydrin concentration. It was confirmed that the larger the average area of the peaks generated by the image analysis, the higher the number of minutiae points was found. With additional tests for fingerprint evaluation using the densitometric image analysis, this method can prove to be a new quantitative and objective assessment method for fingerprint development.

A Study on Compensation of Disparity for Incorrect 3D Depth in the Triple Fresnel Lenses floating Image System (심중 프렌넬 렌즈 시스템에서 재생된 입체부양영상의 올바른 깊이감을 구현하기 위한 시차보정 방법에 대한 연구)

  • Lee, K.H.;Kim, S.H.;Yoon, Y.S.;Kim, S.K.
    • Korean Journal of Optics and Photonics
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    • v.18 no.4
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    • pp.246-255
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    • 2007
  • The floating image system (FIS) is a device to display input source in the space between fast surface of the display and an observer and it provides pseudo 3D depth to an observer when input source as real object or 2D image was displayed through the optical lens system in the FIS. The Advanced floating image system (AFIS) was designed to give more effective 3D depth than existing FIS by adding front and rear depth cues to the displayed stereogram, which it was used as input source. The magnitude of disparity and size of stereogram were strongly related each other and they have been optimized for presenting 3D depths in a non-optical lens systems. Thus, if they were used in optical lens system, they will have reduced or magnified parameters, leading to problem such as providing incorrect 3D depth cues to an observer. Although the size of stereogram and disparity were demagnified by total magnifying power of optical system, the viewing distance (VD) from the display to an observer and base distance (BD) for the gap between the eyes were fixed. For this reason, the quantity of disparity in displayed stereogram through the existing FIS has not kept the magnifying power to the total optical system. Therefore, we proposed the methods to provide correct 3D depth to an observer by compensating quantity of disparity in stereogram which was satisfied to keep total magnifying power of optical lenses system by AFIS. Consequently, the AFIS provides a good floating depth (pseudo 3D) with correct front and rear 3D depth cues to an observer.

ON SUBCLASSES OF FUNCTIONS WITH BOUNDARY AND RADIUS ROTATIONS ASSOCIATED WITH CRESCENT DOMAINS

  • Afis, Saliu;Noor, Khalida Inayat
    • Bulletin of the Korean Mathematical Society
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    • v.57 no.6
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    • pp.1529-1539
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    • 2020
  • The present work is aimed at presenting some characteristic properties of functions that map open unit disk onto a lune in the right half plane. Furthermore, we introduce subclasses of functions with boundary and radius rotations which are related to crescent regions. Some useful results, which include coefficient inequalities and some subordination properties associated with these subclasses are derived. Consequently, related problems concerning these classes are also studied.

PROPERTIES OF FUNCTIONS WITH BOUNDED ROTATION ASSOCIATED WITH LIMAÇON CLASS

  • Jabeen, Kanwal;Saliu, Afis
    • Communications of the Korean Mathematical Society
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    • v.37 no.4
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    • pp.995-1007
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    • 2022
  • In this article, we initiate subclasses of functions with boundary and radius rotations that are related to limaçon domains and examine some of their geometric properties. Radius results associated with functions in these classes and their linear combination are studied. Furthermore, the growth rate of coefficients, arc length and coefficient estimates are derived for these novel classes. Overall, some useful consequences of our findings are also illustrated.

MITTAG LEFFLER FUNCTIONS ASSOCIATED WITH FUNCTIONS THAT MAP OPEN UNIT DISC ONTO A SECTOR OF THE RIGHT-HALF PLANE

  • AFIS SALIU;KANWAL JABEEN;SEMIU OLADIPUPO OLADEJO;OLAIDE YETUNDE SAKA-BALOGUN
    • Journal of applied mathematics & informatics
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    • v.41 no.5
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    • pp.937-946
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    • 2023
  • In this present work, we inaugurated subclasses of analytic functions which are associated with generalized Mittag Leffler Functions. Inclusion implications and integral preserving properties under the Bernardi integral operator are investigated. Some consequences of these findings are also illustrated.

An Ensemble Fingerprint Classification System Using Changes of Gradient of Ridge (융선 기울기의 변화량을 이용한 앙상블 지문분류 시스템)

  • Yoon, Kyung-Bae;Park, Chang-Hee
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.5
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    • pp.545-551
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    • 2003
  • Henry System which is a traditional fingerprint classification model is difficult to apply to a modem Automatic Fingerprint Identification System (AFIS). To tackle this problem, this study is to apply algorithm for an An Ensemble Fingerprint Classroom System using changes of gradient of ridge in order to improve precise joining speed of a large volume of database. The existing classification system, Henry System, is useful in a captured fingerprint image of core point and delta point using paper and ink. However, the Henry System is unapplicable in modem Automatic Fingerprint Identification System (AFIS) because of problems such as size of input sensor and way of input. This study is to suggest an Ensemble Fingerprint Classroom System which can classify 5 basic patterns of Henry System in uncaptured delta image using changes of gradient of ridge. The proposed fingerprint classification technique will make an improvement of precise joining speed by reducing data volume.

A study on compensation of distorted 3D depth in the triple fresnel lenses floating image system

  • Lee, Kwnag-Hoon;Kim, Soo-Ho;Yoon, Young-Soo;Kim, Sung-Kyu
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08b
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    • pp.1490-1493
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    • 2007
  • We proposed the method to take 3D image having correct depths to the front and rear directions when the stereogram was displayed to an observer through an optical system. Since the magnified stereogram by lenses was not given correct depth to an observer despite having the same magnified disparity. Consequently, we achieved our goal by relations of compensated disparities to both directions with magnification of lenses, viewing distance and base distance of viewer in AFIS.

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Effects of Spinning Processes on HVI Fiber Characteristics and Spun Yarn Properties

  • Koo Hyun-Jin;Suh Moon W.
    • Fibers and Polymers
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    • v.6 no.1
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    • pp.42-48
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    • 2005
  • The effects of opening, carding, and repeated drawings on single fiber and bundle cotton characteristics were stud­ied by employing $Mantis^{\circledR}$, $AFIS^{\circledR}$ and HVI Testers. Some of the significant changes in single fiber properties were found to be due to process parameters as well as the changes in the fiber crimps, parallelness of fibers within HVI beards, and the actual changes in the tensile properties of the fibers. The study showed that the HVI test data taken just prior to spinning had the highest correlation with the yam tensile properties. Based on the study results, we point out the potential of HVI for future quality and process control in spinning by recommending a set of expanded HVI output that is more scientific and compre­hensive for the future control needs.

Classification of Fingerprint Ridge Lines Using Runlength Codes (런길이 부호화를 이용한 지문융선 분류)

  • 이정환;노석호;김윤호
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.468-471
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    • 2004
  • In this paper, a method for classifying fingerprint ridge lines using runlength codes is proposed. To detect feature points(minutiae) in automatic fingerprint identification system(AFIS), classification of fingerprint ridge lines are essential process. The fingerprint ridge lines are classified by run-length coding, and also the end and bifurcation regions in ridge lines are separated. To evaluate the performance of the proposed method, detected feature regions including minutiae points and classified fingerprint ridge lines are shown.

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