Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms

GD SUSHMITHA; MS DEVI; M.SHANMATHI; BS VISHALI

Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms

March 2020

Vol-6, Issue-2

Paper ID: 11535

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

COMPUTER SCIENCE ENGINEERING

Keywords

Finger Vein Biometric Support Vector Machine(SVM).

Abstract

A considerable lot of the multimodal biometric frameworks are being used and increased a ton of significance because of its uniqueness and viability. The multimodal biometric systems include hand geometry, signature, retinal pattern, iris, voice-print, finger knuckle, fingerprint, finger vein, face and so on. The points of interest and inconveniences of the biometric frameworks depend on the three principle factors, for example, client acknowledgment, exactness and pertinence. the precision of the iris design, retinal example and face is negligible, when contrasted with the finger knuckle and the finger vein characteristics. client acknowledgment is likewise exceptionally high for the finger knuckle and the finger vein contrasted with the other biometric attributes. The performance is also good for the finger knuckle and the finger vein due to the finger geometry in addition to, security, non-traceability, speed, user friendly, accuracy and so on are the advantages of the finger vein. Implement this simulation in MATLAB 2013a

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	GD SUSHMITHA	SRM VALLIAMMAI ENGINEERING COLLEGE
2	MS DEVI	SRM VALLIAMMAI ENGINEERING COLLEGE
3	M.SHANMATHI	SRM VALLIAMMAI ENGINEERING COLLEGE
4	BS VISHALI	SRM VALLIAMMAI ENGINEERING COLLEGE

How to Cite

Use the following formats to cite this article in your research.

APA Style

SUSHMITHA, GD, DEVI, MS, M.SHANMATHI, & VISHALI, BS (2020). Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 278-285.

MLA Style

SUSHMITHA, GD, et al. "Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 278-285.

IEEE Style

GD SUSHMITHA, MS DEVI, M.SHANMATHI, and BS VISHALI, "Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 278-285, 2020.

Vancouver Style

SUSHMITHA GD, DEVI MS, M.SHANMATHI, VISHALI BS. Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):278-285.

Harvard Style

SUSHMITHA, GD, DEVI, MS, M.SHANMATHI, & VISHALI, BS (2020) 'Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 278-285.

Chicago Style

SUSHMITHA, GD, et al. "Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 278-285.

Turabian Style

SUSHMITHA, GD, et al. "Finger Vein Recognition System Using Maximum Curvature And Lee Region Algorithms." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 278-285.