Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-4127
Online ISSN:
0976-4135


  About JMPT
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)

 

 
Journal of Multimedia Processing and Technologies
 

 

Processing of Features in Vein Images
Ivo Draganov, Darko Brodic
Technical University of Sofia 8 Kl. Ohridski Blvd, Sofia 1000, Bulgaria ., University of Belgrade, Technical Faculty in Bor, V.J. 12, 19210 Bor, Serbia dbrodic@tf.bor.ac.rs
Abstract: We have assessed the features of some finger vein databases available in this work. The intention is to find the quality of images and other features such as contrast, sharpness and possible noise. We report these assessment work in terms of quantity data. The results help to find the distribution of visual images of the veins that can do recognition. We have given outline about the impact of the research on the processes such as image segmentation.
Keywords: Finger Vein Recognition, Database, Contrast, Sharpness, Noise Processing of Features in Vein Images
DOI:10.6025/jmpt/2022/13/1/1-6
Full_Text   PDF 3.15 MB   Download:   249  times
References:

[1] Yang, L., Yang, G., Yin, Y., Zhou, L. (2014). A survey of finger vein recognition, Chapter from Biometric Recognition, Z. Sun et al. (Eds.), Lecture Notes in Computer Science Series, Vol. 8833, Springer, Proceedings of the 9th Chinese Conference, CCBR 2014, Shenyang, China, 234-243, November 7-9.
[2] Gowsica1, G., Latha, L. (2014). A survey on biometric authentication techniques using finger vein, International Journal of Science and Research (IJSR), 3 (11) 1227-1231, November.
[3] Jadhav, M., Ravale Nerkar, P. (2015). Survey on finger vein biometric authentication system, International Journal of Computer Applications, 3, 14-17.
[4] Vinothkumar, S., Sanmugasundaram, R., Divya, D., Padma Sarath, S. (2014). A survey of finger vein extraction techniques and its applications, International Journal of Engineering Research & Technology (IJERT), 3 (2) 2160-2165, February.
[5] Use of finger vein authentication for population-based surveys in developing countries, Report, Hitachi Review, 62 (8) 456- 462, 2013.
[6] Raghavendra, R., Avinash, M., Marcel, S., Busch, C. (2015). Finger vein liveness detection using motion magnification, In: Proceedings of the IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), 1-7.
[7] Sree, S., Radha, N. (2014). A survey on fusion techniques for multimodal biometric identification, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), 2 (12) 7493-7497, December.
[8] Yin, Y., Liu, L., Sun, X. (2011). SDUMLA-HMT: A multimodal biometric database . The 6th Chinese Conference on Biometric Recognition (CCBR 2011), LNCS 7098, 260-268, Beijing, China.
[9] Kumar, A., Zhou, Y. (2012). Human identification using finger images, IEEE Trans. Image Processing, 21, 2228-2244, April.
[10] Tome, P., Vanoni, M., Marcel, S. (2014). On the vulnerability of finger vein recognition to spoofing, IEEE International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, September, 10-12, 1-10.
[11] Ton, B. Vascular pattern of the finger: biometric of the future? Sensor design, data collection and performance verification, Master’s thesis, University of Twente, July 2012.
[12] Yang, W., Yu, X., Liao, Q. (2009). Personal authentication using finger vein pattern and finger-dorsa texture fusion, In: Proceedings of the 17th ACM international conference on Multimedia, ACM, 905-908.
[13] Asaari, M., Suandi, S., Rosdi, B. (2014). Fusion of band limited phase only correlation and width centroid contour distance for finger based biometrics, Expert Systems with Applications, 41 (7) 3367-3382, ISSN 0957-4174. http://dx.doi.org/10.1016/ .eswa.2013.11.033, June 1st, 2014.
[14] Lu, Y., Xie, S. J., Yoon, S., Wang, Zh., Park, D. S. (2013). An available database for the research of finger vein recognition, In: Proceedings of the 6th International Congress on Image and Signal Processing (CISP 2013), Hangzhou, China,pp. 410-415, December 16-18.


Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright © 2011 dline.info