Future of Human Security Based on Computational Intellegence

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Future of Human Security Based on Computational Intellegence

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Abstract

This paper discusses the contact less palm veinauthentication device that uses blood vessel patterns as a personal identifying factor. The vein information is hard to duplicate since veins are internal to the human Body. This paper presents a review on the palm vein authentication process and its relevance and competence as compared to the contemporary Biometric methods. Th is authentication technology offers a high level of Accuracy. The importance of biometrics in the current field of Security has been illustrated in this paper. We have also outlined opinions about the utility of biometric authentication systems, comparison between different techniques and their advantages and disadvantage. Its significance is studied in this paper with reference to the banks, E-Voting, point of sale outlets and card/document less security system. Fujitsu plans to further expand applications for this technology by downsizing the sensor and improving the certification speed. I.2.m C.2.0

References

16 Cites in Article
  1. S.-K Im,H.-M Park,S.-W Kim,C.-K Chung,H.-S Choi (2000). Im proved vein pattern extracting algorithm and itsimplementation.
  2. S Im,H Park,Y Kim,S Han,S Kim,C Hang (2001). A n biometric identification system by extracting hanvein patterns.
  3. T Tanaka,N Kubo (2004). B iometric authentication by handvein patterns.
  4. G Park,S Im,H Choi (1997). A person identificationalgorithm utilizing hand vein pattern.
  5. S Zhao,Y Wang,Y Wang (2007). B iometric verification byextracting hand vein patterns from low-quality images.
  6. Y Ding,D Zhuang,K Wang (2005). A study of hand veinrecognition method.
  7. Kejun Wang,Yan Zhang,Zhi Yuan,Dayan Zhuang (2006). Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision.
  8. L Wang,G Leedham (2006). Near -and Far-Infrared imagingfor vein pattern biometrics.
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  12. Ding (2025). Unknown Title.
  13. Yuhang Ding,Dayan Zhuang,Kejunwang (2005). A Study of Hand Vein Recognition Method‖.
  14. Tanaka Unknown Title.
  15. Toshiyuki Tanaka,Naohiko Kubo (1997). B iometricAuthentication by Hand Vein Patterns‖.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

t.venkat_narayana_rao. 1970. \u201cFuture of Human Security Based on Computational Intellegence\u201d. Unknown Journal GJCST Volume 10 (GJCST Volume 10 Issue 10): .

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GJCST Volume 10 Issue 10
Pg. 68- 73
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v1.2

Issue date

September 30, 2010

Language
en
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This paper discusses the contact less palm veinauthentication device that uses blood vessel patterns as a personal identifying factor. The vein information is hard to duplicate since veins are internal to the human Body. This paper presents a review on the palm vein authentication process and its relevance and competence as compared to the contemporary Biometric methods. Th is authentication technology offers a high level of Accuracy. The importance of biometrics in the current field of Security has been illustrated in this paper. We have also outlined opinions about the utility of biometric authentication systems, comparison between different techniques and their advantages and disadvantage. Its significance is studied in this paper with reference to the banks, E-Voting, point of sale outlets and card/document less security system. Fujitsu plans to further expand applications for this technology by downsizing the sensor and improving the certification speed. I.2.m C.2.0

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Future of Human Security Based on Computational Intellegence

Dr. T.Venkat Narayana Rao
Dr. T.Venkat Narayana Rao
K.Preethi
K.Preethi

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