357
Views
12
CrossRef citations to date
0
Altmetric
Information Engineering

Finger-vein recognition using a novel enhancement method with convolutional neural network

ORCID Icon, ORCID Icon &
Pages 407-417 | Received 03 Jun 2020, Accepted 14 Apr 2021, Published online: 04 May 2021

References

  • Ahmad Radzi, S., M. Khalil-Hani, and R. Bakhteri. 2016. “Finger-Vein Biometric Identification Using Convolutional Neural Network.” Turkish Journal of Electrical Engineering & Computer Sciences 24 (3): 1863–1878. doi:10.3906/elk-1311-43.
  • Armi, L., and S. Fekri-Ershad. 2019. “Texture Image Analysis and Texture Classification Methods-A Review.” International Online Journal of Image Processing and Pattern Recognition 2 (1): 1–29.
  • Asaari, M. S. M., S. A. Suandi, and B. A. Rosdi. 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. doi:10.1016/j.eswa.2013.11.033.
  • Asadi Amiri, S., and H. Hassanpour. 2012. “A Preprocessing Approach for Image Analysis Using Gamma Correction.” International Journal of Computer Applications 38 (12): 38–46.
  • Banerjee, A., S. Basu, S. Basu, and M. Nasipuri. 2018. “Artem: A New System for Human Authentication Using Finger Vein Images.” Multimedia Tools and Applications 77 (5): 5857–5884. doi:10.1007/s11042-017-4501-8.
  • Dargan, S., and M. Kumar. 2019. ““Writer Identification System for Indic and Non-Indic Scripts: State-of-the-Art Survey.”.” Archives of Computational Methods in Engineering 26 (4): 1283–1311. doi:10.1007/s11831-018-9278-z.
  • Dargan, S., and M. Kumar. 2020. “A Comprehensive Survey on the Biometric Recognition Systems Based on Physiological and Behavioral Modalities.” Expert Systems with Applications 143: 1131141–11311427. doi:10.1016/j.eswa.2019.113114.
  • Dargan, S., M. Kumar, M. R. Ayyagari, and G. Kumar. 2020. “A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning.” Archives of Computational Methods in Engineering 27 (4): 1071–1092. doi:10.1007/s11831-019-09344-w.
  • Das, R., E. Piciucco, E. Maiorana, and P. Campisi. 2019. “Convolutional Neural Network for Finger-Vein-Based Biometric Identification.” IEEE Transactions on Information Forensics and Security 14 (2): 360–373. doi:10.1109/TIFS.2018.2850320.
  • Garg, D., N. K. Garg, and M. Kumar. 2018. “Underwater Image Enhancement Using Blending of CLAHE and Percentile Methodologies.” Multimedia Tools and Applications 77 (20): 26545–26561. doi:10.1007/s11042-018-5878-8.
  • Gupta, S., M. Kumar, and A. Garg. 2019. “Improved Object Recognition Results Using Sift and Orb Feature Detector.” Multimedia Tools and Applications 78 (23): 34157–34171. doi:10.1007/s11042-019-08232-6.
  • Hassanpour, H., N. Samadiani, and S. M. M. Salehi. 2015. “Using Morphological Transforms to Enhance the Contrast of Medical Images.” The Egyptian Journal of Radiology and Nuclear Medicine 46 (2): 481–489. doi:10.1016/j.ejrnm.2015.01.004.
  • Hong, H. G., M. B. Lee, and K. R. Park. 2017. “Convolutional Neural Network-Based Finger-Vein Recognition Using NIR Image Sensors.” Sensors 17 (6): 12971–129721. doi:10.3390/s17061297.
  • Huang, H., S. Liu, H. Zheng, L. Ni, L. Y. Zhang, and W. Li. 2017.”Deepvein: Novel Finger Vein Verification Methods Based on Deep Convolutional Neural Networks.” In 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), New Delhi, India, 22-24 Feburary 2017: 1–8. New York: IEEE.
  • Janani, P., J. Premaladha, and K. S. Ravichandran. 2015. “Image Enhancement Techniques: A Study.” Indian Journal of Science and Technology 8 (22): 1–12. doi:10.17485/ijst/2015/v8i22/79318.
  • Jia, W., D.-S. Huang, and D. Zhang. 2008. “Palmprint Verification Based on Robust Line Orientation Code.” Pattern Recognition 41 (5): 1504–1513. doi:10.1016/j.patcog.2007.10.011.
  • Jiang, G., C. Y. Wong, S. C. F. Lin, M. A. Rahman, T. R. Ren, N. Kwok, H. Shi, Y.-H. Yu, and T. Wu. 2015. “Image Contrast Enhancement with Brightness Preservation Using an Optimal Gamma Correction and Weighted Sum Approach.” Journal of Modern Optics 62 (7): 536–547. doi:10.1080/09500340.2014.991358.
  • Kansal, S., S. Purwar, and R. K. Tripathi. 2018. “Image Contrast Enhancement Using Unsharp Masking and Histogram Equalization.” Multimedia Tools and Applications 77 (20): 26919–26938. doi:10.1007/s11042-018-5894-8.
  • Krizhevsky, A., I. Sutskever, and G. E. Hinton. 2012. Imagenet Classification with Deep Convolutional Neural Networks In Proceesings of the 25th International Conference on Nueral Information Processing Systems, Lake Tahoe, Nevada, USA, 3-6 December 2012:1097–1105. New York: Curran Associates.
  • Kumar, A., and K. V. Prathyusha. 2009. “Personal Authentication Using Hand Vein Triangulation and Knuckle Shape.” IEEE Transactions on Image Processing 18 (9): 2127–2136. doi:10.1109/TIP.2009.2023153.
  • Kumar, A., and Y. Zhou. 2012. “Human Identification Using Finger Images.” IEEE Transactions on Image Processing 21 (4): 2228–2244. doi:10.1109/TIP.2011.2171697.
  • Kumar, M., P. Chhabra, and N. K. Garg. 2018. “An Efficient Content Based Image Retrieval System Using Bayesnet And K-NN.” Multimedia Tools and Applications 77 (16): 21557–21570. doi:10.1007/s11042-017-5587-8.
  • Kumar, M., M. K. Jindal, R. K. Sharma, and S. R. Jindal. 2020. “Performance Evaluation of Classifiers for the Recognition of Offline Handwritten Gurmukhi Characters and Numerals: A Study.” Artificial Intelligence Review 55 (3): 2075–2097. doi:10.1007/s10462-019-09727-2.
  • Kumar, M., and S. R. Jindal. 2019. “Fusion of RGB and HSV Colour Space for Foggy Image Quality Enhancement.” Multimedia Tools and Applications 78 (8): 9791–9799. doi:10.1007/s11042-018-6599-8.
  • Lee, E. C., H. C. Lee, and K. R. Park. 2009. “Finger Vein Recognition Using Minutia‐Based Alignment and Local Binary Pattern‐Based Feature Extraction.” International Journal of Imaging Systems and Technology 19 (3): 179–186. doi:10.1002/ima.20193.
  • Makandar, A., and B. Halalli. 2015. “Breast Cancer Image Enhancement Using Median Filter and CLAHE.”.” International Journal of Scientific & Engineering Research 6 (4): 462–465.
  • Meng, X., X. Xi, G. Yang, and Y. Yin. 2018. “Finger Vein Recognition Based on Deformation Information.” Science China Information Sciences 61 (5): 0521031–02310315. doi:10.1007/s11432-016-9037-0.
  • Menotti, D., G. Chiachia, A. Pinto, W. R. Schwartz, H. Pedrini, A. X. Falcao, and A. Rocha. 2015. “Deep Representations for Iris, Face, and Fingerprint Spoofing Detection.” IEEE Transactions on Information Forensics and Security 10 (4): 864–879. doi:10.1109/TIFS.2015.2398817.
  • Miura, N., A. Nagasaka, and T. Miyatake. 2004. “Feature Extraction of Finger-Vein Patterns Based on Repeated Line Tracking and Its Application to Personal Identification.” Machine Vision and Applications 15 (4): 194–203. doi:10.1007/s00138-004-0149-2.
  • Miura, N., A. Nagasaka, and T. Miyatake. 2007. “Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles.” IEICE Transactions on Information and Systems 90 (8): 1185–1194. doi:10.1093/ietisy/e90-d.8.1185.
  • Nagu, M., and N. Vijay Shanker. 2014. “Image De-Noising by Using Median Filter and Weiner Filter.” International Journal of Innovative Research in Computer and Communication Engineering 2 (9): 5641–5649.
  • Narang, S. R., M. K. Jindal, and M. Kumar. 2020. “Ancient Text Recognition: A Review.” Artificial Intelligence Review 53 (8): 5517–5558. doi:10.1007/s10462-020-09827-4.
  • Park, K.-R., Y.-K. Jang, and B.-J. Kang. 2008. “A Study on Touchless Finger Vein Recognition Robust to the Alignment and Rotation of Finger.” The KIPS Transactions: PartB 15B (4): 275–284. doi:10.3745/KIPSTB.2008.15-B.4.275.
  • Qin, H., and M. A. El-Yacoubi. 2017. “Deep Representation-Based Feature Extraction and Recovering for Finger-Vein Verification.” IEEE Transactions on Information Forensics and Security 12 (8): 1816–1829. doi:10.1109/TIFS.2017.2689724.
  • Qin, H., and M. A. El-Yacoubi. 2018. “Deep Representation for Finger-Vein Image-Quality Assessment.”.” IEEE Transactions on Circuits and Systems for Video Technology 28 (8): 1677–1693. doi:10.1109/TCSVT.2017.2684826.
  • Raghavendra, R., M. Avinash, S. Marcel, and C. Busch. 2015.”Finger Vein Liveness Detection Using Motion Magnification.” In 2015 IEEE 7th International conference on biometrics theory, applications and systems (BTAS), Arlington, VA, USA, 8-11 September 2015: 1–7. New York: IEEE.
  • Raghavendra, R., and C. Busch. 2015.”Presentation Attack Detection Algorithms for Finger Vein Biometrics: A Comprehensive Study.” In 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Bangkok, Thailand, 22-23 November 2015: 628–632. New York: IEEE.
  • Raghavendra, R., S. Venkatesh, K. B. Raja, and C. Busch. 2017.”Transferable Deep Convolutional Neural Network Features for Fingervein Presentation Attack Detection.” In 2017 5th International Workshop on Biometrics and Forensics (IWBF), Coventry, UK, 4-5 April 2017: 1–5. New York: IEEE.
  • Ramiz, M. A., and P. R. Quazi. 2017. “Hybrid Technique for Image Enhancement.” International Research Journal of Engineering and Technology 4 (7): 819–822.
  • Simrad, P. Y., D. Steinkraus, and J. C. Platt. 2003. “Best Practice for Convolutional Neural Networks Applied to Visual Documents Analysis” In Sventh International Conference on Document Analysis and Recognition, Edinburgh, UK, 6 August 2003: 958–963. New York: IEEE.
  • Somasundaram, K., and P. Kalavathi. 2011. “Medical Image Contrast Enhancement Based on Gamma Correction.”.” International Journal of Knowledge Management & e-Learning 3 (1): 15–18.
  • Spring, K., J. C. Russ, J. Mathew, P. Hill, T. Fellers, and M. W. Davidson. 2016. “Unsharp Mask Filtering.” In Interactive Tutorials-optical Microscopy Primer. Japan: Olympus.
  • Suresh, B., T. S. Kumari, P. Yashwanth, and R. Raghavendra Rao. 2015. “Modified Histogram Based Contrast Enhancement Using Unsharp Masking Filter for Medical Images.” International Journal of Research in Computer and Communication Technology 4 (2): 137–140.
  • Tian, X. 2011. “The Application of Adaptive Unsharp Mask Algorithm in Medical Image Enhancement.” In Proceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, Vol. 2, Pp. 1368–1370. IEEE, 2011.
  • Ton, B. T., and R. N. J. Veldhuis. 2013. “A High Quality Finger Vascular Pattern Dataset Collected Using A Custom Designed Capturing Device.” In 2013 International Conference on Biometrics (ICB), Madrid, Soain, 4-7 June 2013: 1–5. New York: IEEE.
  • Van, H. T., T. T. Thai, and T. H. Le. 2015.”Robust Finger Vein Identification Base on Discriminant Orientation Feature.” In 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, Veitnam, 8-10 October 2015: 348–353. New York: IEEE.
  • Xie, S. J., S. Yoon, J. Yang, Y. Lu, D. S. Park, and B. Zhou. 2014. “Feature Component-Based Extreme Learning Machines for Finger Vein Recognition.”.” Cognitive Computation 6 (3): 446–461. doi:10.1007/s12559-014-9254-3.
  • Yang, J., Y. Shi, and G. Jia. 2017. “Finger-Vein Image Matching Based on Adaptive Curve Transformation.” Pattern Recognition 66: 34–43. doi:10.1016/j.patcog.2017.01.008.
  • Yang, L., G. Yang, Y. Yin, and X. Xi. 2018. ““Finger Vein Recognition with Anatomy Structure Analysis.” “ IEEE Transactions on Circuits and Systems for Video Technology 28 (8): 1892–1905. doi:10.1109/TCSVT.2017.2684833.
  • Yang, W., C. Hui, Z. Chen, J.-H. Xue, and Q. Liao. 2019. “FV-GAN: Finger Vein Representation Using Generative Adversarial Networks.” IEEE Transactions on Information Forensics and Security 14 (9): 2512–2524. doi:10.1109/TIFS.2019.2902819.
  • Yang, W., Q. Rao, and Q. Liao. 2011.”Personal Identification for Single Sample Using Finger Vein Location and Direction Coding.” In 2011 International Conference on Hand-Based Biometrics, Hong Kong, China, 17-18 November 2011: 1–6. New York: IEEE.
  • Yang, Y., G. Yang, and S. Wang. 2012. “Finger Vein Recognition Based on Multi-Instance.” International Journal of Digital Content Technology and Its Applications 6 (11): 86–94. doi:10.4156/jdcta.vol6.issue11.11.
  • Ye, Y., L. Ni, H. Zheng, L. S. Liu, L. Y. Zhu, L. D. Zhang, L. W. Xiang, and W. Li. 2016. “FVRC2016: The 2nd Finger Vein Recognition Competition.” In 2016 International Conference on Biometrics (ICB), Halmstad, Swedan, 1-16 June 2106: 1–6. New York: IEEE.
  • Yin, Y., L. Liu, and X. Sun. 2011. “SDUMLA-HMT: A Multimodal Biometric Database.” In Chinese Conference on Biometric Recognition, Beijing, China, 3-4 December 2011:260–268. Berlin, Heidelberg: Springer-Verlag.
  • Zhou, Y., and A. Kumar. 2011. “Human Identification Using Palm-Vein Images.” IEEE Transactions on Information Forensics and Security 6 (4): 1259–1274. doi:10.1109/TIFS.2011.2158423.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.