RESEARCH AND DEVELOPMENT OF BIOMETRIC METHODS

Author:

Kulanbay Sh. B.1ORCID,Beketova G. S.1ORCID,Tulegenova E. N.1ORCID

Affiliation:

1. Kyzylorda University named after Korkyt ata

Abstract

Identification systems play a very important role in today's society. Complex security requirements have prompted experts to explore ways in which biometrics can be used to identify customers. In this article, the concept of biometrics, biometric data and its variants are considered. The purpose of the article is to study the process of identification, to produce its improved version and introduce innovation. Thus, the following points served as a research method:- Initialization.- Fitness functions.- Unclear clusterleu method.The results showed that the advancement of biometric systems and biometric sensors can improve the identity and prevent others from using the identity, the system has great potential to improve the security and accuracy of the biometric technology system. Biometric systems increase the security of users, as well as ensure accuracy in the identification of personal identity. Thus, the accuracy of the proposed method is compared with four modern methods. The comparison shows that the proposed approach provided a high accuracy of about 99.89% and a low error rate of 0.18%. It turns out that there is real potential for the integration of fingerprints and iris biometrics in many subjects with the appropriate assessment.

Publisher

Kazakh-British Technical University

Reference17 articles.

1. Aas K.F. (2006) The body does not lie : Identity, risk and trust in technoculture, Crime, Media, Culture, 2(2), pp. 143–158. https://doi.org/10.1177/1741659006065401.

2. Abdurrahim S.H., Samad S.A. and Huddin A.B. (2017) Review on the effects of age, gender, and race demographics on automatic face recognition, The Visual Computer. https://doi.org/10.1007/s00371-017-1428-z. Akrich M. (1992) The de-scription of technical objects, in: W. Bijker and J. Law (Eds) Shaping Technology/Building Society. Studies in Sociotechnical Change, pp. 205–224 (Cambridge: MIT Press), [Google Scholar] Amoore L. (2006) Biometric borders: Governing mobilities in the war on terror, Political Geography, 25(3), pp. 336–351. https://doi.org/10.1016/j.polgeo.2006.02.001 [Crossref], [Web of Science ®], [Google Scholar]

3. Beveridge J.R., Givens G.H., Phillips P.J. and Draper B.A. (2009) Factors that influence algorithm performance in the face recognition grand challenge, Computer Vision and Image Understanding, 113(6), pp. 750–762. https://doi.org/10.1016/j.cviu.2008.12.007 [Crossref], [Web of Science ®], [Google Scholar]

4. Bowyer K.W., Hollingsworth K. and Flynn P.J. (2008) Image understanding for iris biometrics: A survey, Computer Vision and Image Understanding, 110(2), pp. 281–307. https://doi.org/10.1016/j.cviu.2007.08.005 [Crossref], [Web of Science ®], [Google Scholar]

5. Breckenridge K. (2005) The biometric state: The promise and peril of digital government in the new South Africa, Journal of Southern African Studies, 31(2), pp. 267–282. https://doi.org/10.1080/03057070500109458 [Taylor & Francis Online], [Web of Science ®], [Google Scholar]

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3