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Relevant bibliographies by topics / Finger minutiae data

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Journal articles

Academic literature on the topic 'Finger minutiae data'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Finger minutiae data"

1

Thangamanimaran, Dhileepan, M. Sharat Chandar, and S. Chandia. "Optimization of biometric recognition using cuckoo search algorithm: a preliminary version for minutia based fingerprint identification." International Journal of Engineering & Technology 7, no. 1.1 (2017): 43. http://dx.doi.org/10.14419/ijet.v7i1.1.8920.

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Currently Behavioural Biometrics is the most widely used means of security. Though Behavioural Biometrics is highly reliable and secure, the data handling process is quite complex. This Problem can be solved by optimizing the process using cuckoo search algorithm.This Paper seeks to optimize the process of fingerprint matching by using an optimal algorithm. The Minutiae in the form of a matrix is extracted from a fingerprint. The Matrix is then split into smaller matrices with increasing dimension and then compared. The matrix with least dimension it is matched. If the Match is true then the v

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2

Singh, Sharad Pratap, Shahanaz Ayub, and J. P. Saini. "Analysis and comparison of normal and altered fingerprint using artificial neural networks." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 2 (2021): 243–49. http://dx.doi.org/10.3233/kes-210068.

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Fingerprint matching is based on the number of minute matches between two fingerprints. Implementation mainly includes image enhancement, segmentation, orientation histogram, etc., extraction (completeness) and corresponding minutiae. Finally, a matching score is generated that indicates whether two fingerprints coincide with the help of coding with MATLAB to find the matching score and simulation of Artificial Neural Network extending the feedback of the network. Using the artificial neural network tool, an important advantage is the similarity index between the sample data or unknown data. A

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3

Nanakorn, Somsong, Kusuma Chusilp, and Wibhu Kutanan. "Thai Twin Registry: Description of the Initial Stage." Twin Research and Human Genetics 16, no. 1 (2012): 330–32. http://dx.doi.org/10.1017/thg.2012.72.

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The present study describes the initial phase of the Thai Twin Registry (TTR) in Khon Kaen University, a pioneer research university located in the Northeast of Thailand. The initial steps of the study included the analysis of dermatoglyphic information in Thai twins for answering the research question: Are monozygotic (MZ) and dizygotic (DZ) twins different in dermatoglyphic variables? Subjects were 212 twin pairs (81 MZ and 131 DZ), consisting of 155 males and 269 females. Four types of fingerprint pattern (FP) — that is, arch, radial loop, ulnar loop, and whorl — were classified and analyze

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4

Mon, Ei Ei, Sangsuree Vasupongayya, Montri Karnjanadecha, and Touchai Angchuan. "Evaluating biometrics fingerprint template protection for an emergency situation." Tehnički glasnik 13, no. 4 (2019): 280–85. http://dx.doi.org/10.31803/tg-20191104190328.

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Biometric template protection approaches have been developed to secure the biometric templates against image reconstruction on the stored templates. Two cancellable fingerprint template protection approaches namely minutiae-based bit-string cancellable fingerprint template and modified minutiae-based bit-string cancellable fingerprint template, are selected to be evaluated. Both approaches include the geometric information of the fingerprint into the extracted minutiae. Six modified fingerprint data sets are derived from the original fingerprint images in FVC2002DB1_B and FVC2002DB2_B by condu

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5

Et. al., Jaichandran R. ,. "Biometric Based User Authentication and Privacy Preserving In Cloud Environment." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 347–50. http://dx.doi.org/10.17762/turcomat.v12i2.801.

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Cloud technology provides advantage of storage services for individuals and organizations thus making file access easy and simple irrespective of location. The major concern is the security while the file is been outsourced. Maintaining integrity, file unchanged, gaining confidentiality during file outsourced plays an important role. In this paper, we propose identity based data outsourcing technique to provide data security during authorization and storage. For data authorization we propose finger print based authentication. The fingerprint based authentication is performed using Minutae Map

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6

Jang, Fong Lin, and Chyun Chau Lin. "Relationships and Comparisons of Finger Surface Temperature Measurements from Three Different Kinds of Temperature Sensors." Applied Mechanics and Materials 284-287 (January 2013): 1559–63. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1559.

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Temperature biofeedback has been used in behavioral medicine for more than three decades. Traditional temperature biofeedback uses the contact sensor of a thermistor to measure one’s finger surface temperature. The goal of this study is to discover new valid sensors for temperature biofeedback. Sixteen healthy young adult volunteers (23.1±2.0 years old) practiced cognitive imagery muscle relaxation with three kinds of temperature sensors (thermography imaging, thermistor, and infrared thermopile) to measure their finger surfaces simultaneously. The temperature readings from different sensors w

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7

Ramos, Luan, Ana Luiza Bertani, José Davi Oltramari, and William Dhein. "Thermal behavior of the skin region of the wrist and finger extensor muscles during a typing task." Revista Brasileira de Medicina do Trabalho 18, no. 1 (2020): 74–81. http://dx.doi.org/10.5327/z1679443520200487.

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Background: Occupational diseases are the second leading cause of sick leave in Brazil, among which musculoskeletal disorders are very common especially among workers whose job includes typing tasks. Thermography analyzes the temperature distribution on the skin surface and is used for diagnosis and prevention of musculoskeletal disorders. Objective: To investigate the thermal behavior of the skin on the wrist and finger extensor muscle area before, during and after a typing task. Methods: Twenty-four workers whose job involves typing were allocated to two groups—with or without elbow, forearm

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8

Castellani, John W., Beau R. Yurkevicius, Myra L. Jones, et al. "Effect of localized microclimate heating on peripheral skin temperatures and manual dexterity during cold exposure." Journal of Applied Physiology 125, no. 5 (2018): 1498–510. http://dx.doi.org/10.1152/japplphysiol.00513.2018.

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Reduced dexterity is a major problem in cold weather, with a need for a countermeasure that increases hand (Thand) and finger (Tfing) temperatures and improves dexterity. The purpose of this study was to determine whether electric heat (set point, 42°C) applied to the forearm (ARM, 82 W), face (FACE, 9.2 W), or combination of both (COMB, 91.2 W), either at the beginning of cold exposure (COLD; 0.5°C, 120 min; 2 clo insulation, seated, bare-handed) or after Tfing fell to 10.5°C [delayed trials (D)], improves Thand, Tfing, dexterity, and finger key pinch strength (Sfing). Volunteers ( n = 8; 26

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9

Sulistyo, Eko. "Alat Pendeteksi Denyut Nadi Berbasis Arduino Yang Diinterfacekan Ke Komputer." Manutech : Jurnal Teknologi Manufaktur 8, no. 02 (2019): 7–11. http://dx.doi.org/10.33504/manutech.v8i02.2.

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Heartbeat/pulse is an important factor in the health sector that determines the health condition ofa person's body. The method of measuring the number of the pulses is still using the manual method bycalculating the rate of the heartbeat/pulse per minute. To know one's pulse, it needs to makemeasurements in the hospital, so not everyone can measure their own pulse. The solution of this problemis the manufacture of human pulse detection device that works automatically in real time and can beconnected with the computer. The purpose of this study is to help people or medical personnel incalculati

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10

Vaitkevičius, Aurelijus, Mantas Taroza, Tomas Blažauskas, Robertas Damaševičius, Rytis Maskeliūnas, and Marcin Woźniak. "Recognition of American Sign Language Gestures in a Virtual Reality Using Leap Motion." Applied Sciences 9, no. 3 (2019): 445. http://dx.doi.org/10.3390/app9030445.

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We perform gesture recognition in a Virtual Reality (VR) environment using dataproduced by the Leap Motion device. Leap Motion generates a virtual three-dimensional (3D) handmodel by recognizing and tracking user‘s hands. From this model, the Leap Motion applicationprogramming interface (API) provides hand and finger locations in the 3D space. We present asystem that is capable of learning gestures by using the data from the Leap Motion device and theHidden Markov classification (HMC) algorithm. We have achieved the gesture recognitionaccuracy (mean ± SD) is 86.1 ± 8.2% and gesture typing spee

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