Open Access   Article Go Back

Multimodal Approach on Finger Vein and Fingerprint by Using Visual Steganography for Efficient Biometric Security

P. Anitha1 , M. Grace2

  1. Department of Computer Science, Soka Ikeda College of Arts and Science for Women, Chennai-99, India.
  2. Department of Computer Science, Soka Ikeda College of Arts and Science for Women, Chennai-99, India.

Correspondence should be addressed to: anithajoy81@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-11 , Page no. 141-146, Nov-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i11.141146

Online published on Nov 30, 2017

Copyright © P. Anitha, M. Grace . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: P. Anitha, M. Grace, “Multimodal Approach on Finger Vein and Fingerprint by Using Visual Steganography for Efficient Biometric Security,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.11, pp.141-146, 2017.

MLA Style Citation: P. Anitha, M. Grace "Multimodal Approach on Finger Vein and Fingerprint by Using Visual Steganography for Efficient Biometric Security." International Journal of Computer Sciences and Engineering 5.11 (2017): 141-146.

APA Style Citation: P. Anitha, M. Grace, (2017). Multimodal Approach on Finger Vein and Fingerprint by Using Visual Steganography for Efficient Biometric Security. International Journal of Computer Sciences and Engineering, 5(11), 141-146.

BibTex Style Citation:
@article{Anitha_2017,
author = {P. Anitha, M. Grace},
title = {Multimodal Approach on Finger Vein and Fingerprint by Using Visual Steganography for Efficient Biometric Security},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2017},
volume = {5},
Issue = {11},
month = {11},
year = {2017},
issn = {2347-2693},
pages = {141-146},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1556},
doi = {https://doi.org/10.26438/ijcse/v5i11.141146}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i11.141146}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1556
TI - Multimodal Approach on Finger Vein and Fingerprint by Using Visual Steganography for Efficient Biometric Security
T2 - International Journal of Computer Sciences and Engineering
AU - P. Anitha, M. Grace
PY - 2017
DA - 2017/11/30
PB - IJCSE, Indore, INDIA
SP - 141-146
IS - 11
VL - 5
SN - 2347-2693
ER -

VIEWS PDF XML
782 532 downloads 240 downloads
  
  
           

Abstract

Nowadays our systems need strong security to protect data and resources access from unauthorized persons. For that purpose, biometric-based authentication system provides more security than other approaches. Uni-modal biometric systems use only one biometric trait such as fingerprint, finger vein, voice, face, ear, iris, retina etc., which has some limitations due to noise, spoof attacks etc., The multimodal biometric system is the combination of more than one biometric trait to authenticate an individual. In this paper, a multimodal approach has been proposed by integrating the finger vein and fingerprint to enhance the performance of personal recognition system. Preserving the privacy of stored biometric templates in a centralized database is of more important at present. Visual Steganography provides a very powerful technique by which one secret can be distributed in two or more shares. When the shares on transparencies are superimposed exactly together, the original secret can be discovered without computer participation. In the enrollment procedure, the secret key is encrypted by using AES algorithm and by using the visual steganographic technique, the encrypted secret key is shared between the two images. The share1 is kept as the users` ID card and the share2 is stored in the database. In the verification procedure, new finger vein and fingerprint images are obtained and verified with the images stored in the database. It is computationally hard to obtain the biometric image from any individual stored sheets. This paper explores the possibility of using visual steganography for efficient biometric security in the multimodal approach.

Key-Words / Index Term

Uni-modal approach, Multimodal approach, Visual Steganography, finger vein, fingerprint, AES

References

[1] Hatim A. Aboal samh, “A Multi Biometric System using combined Vein and Fingerprint Identification”, International Journal of Circuits, Systems and Signal Processing, pp 29-36, Issue 1, Vol.5, 2011.
[2] T.Sheeba, M. Justin Bernard, “Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger vein”, International Journal of Computer Applications (0975-8887), Vol.51,No. 5, 2012.
[3] Neha Chhabra, “Visual Cryptographic Steganography in Images”, International Journal of Computer Science and Network Security, pp 126-131, Vol.12, No.4, 2012.
[4] K. Sankareswari, S. Arul Jothi, “Hybrid Approach for Securing Biometric Templates Using Visual Cryptography”, International Journal of Advance Research in Computer Science and Management Studies, pp 61-65, Vol.3, Issue 9, 2015.
[5] Jinfeng Yang, Yihua Shi, “Towards Finger Vein Image Restoration and Enhancement for Finger Vein Recognition”, Elsevier, Information Sciences, pp 33-52, 268, 2014.
[6] Wenming Yang, Xiaola Huang, Fei Zhou, Oingmin Liao, “Comparative and competitive coding for personal identification by using finger vein and finger dorsal texture fusion”, Information Sciences, pp 20-32, 268, 2014.
[7] Lu Yang, Gang ping Yang, Yilong Yin, Rongyang Xiao, “Sliding Window-Based Region of Interest Extraction for Finger Vein Images”, Sensors, 2013.
[8] Humairah Hamid, V.K. Narang, Priti Singh, “Review on Vein Pattern Based Biometric Systems”, International Journal of Innovative Research in Science, Engineering and Technology, Vol.6, Issue 5, 2017.
[9] Shaik Riyaz Ulhaq, Shaik Imityaz, Selvakumar, L.Gopinath, “Multimodel Biometric Template Authentication of Fingervein and Signature using Visual Cryptography”, International Journal of Engineering and Techniques, Vol. 3, Issue 3, 2017.
[10] A. L. Kabade, "Canny edge detection algorithm", International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), 5(5):1292-1295, 2016.
[11] Kayode A. Akintoye, M. Rahim M. Shafry, Abdul Hanan Abdullah, “ A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector”, International Journal of Computer Applications (0975 – 8887), Vol. 157, No 2, 2017.
[12] Shanthakumar, Janardhan Naidu, “An Efficient Personnel Authentication Through Multi modal Biometric System”, International Journal of Scientific Engineering and Applied Science (IJSEAS), Vol.2, Issue 1, ISSN: 2395-3470, pp. 534-543, 2016.
[13] Sangeetha Narwal , Daljit Kaur, “Comparison between Minutiae Based and Pattern Based Algorithm of Fingerprint Image”, International Journal of Information Engineering and Electronic Business, 2, pp. 23-29, 2016.
[14] Mohammad Mohsen Ahmadinejad, Elizabeth Sherly, “A Comparative Study on PCA and KPCA Methods for Face Recognition”, International Journal of Science and Research (IJSR), ISSN: 2319-7064, Vol. 5, Issue 6, 2016.
[15] Kondreddi Gopi, J.T. Pramod, “Fingerprint Recognition Using Gabor Filter and Frequency Domain Filtering”, IOSR Journal of Electronics and Communication Engineering, Vol. 2, Issue 6, pp.17-21, 2012.
[16] T. Srinivasa Rao, E. Srinivasa Reddy, “A Multimodal Biometric Authentication Technique using Fused Features of Finger, Palm and Speech”, International Journal of Computer Sciences and Engineering, Vol. 5, Issue 8, E-ISSN:2347-2693, 2017.