SMART SENSOR BASED TOUCHLESS FINGERPRINT SYSTEM

his paper introduces a touchless fingerprint recognition system, offering a hygienic alternative to conventional touch-based systems. The primary objective is to develop and evaluate a comprehensive solution that addresses hygiene-related concerns and mitigates the risks associated with disease transmission, particularly in the context of the ongoing Covid-19 pandemic. The proposed system utilizes a state-of-the-art touchless sensor to capture intricate fingerprint images, subsequently processing, storing, and retrieving them for matching purposes. By eliminating the need for physical contact, the system effectively tackles issues related to inconsistent pressure and prolonged collection times. The touchless fingerprint technology showcased in this system holds great promise for diverse applications that demand secure and hygienic fingerprint recognition. The proposed method overcomes the limitations inherent in touch-based systems, making it well-suited for environments where health and safety considerations are paramount. The integration of this touchless technology not only enhances security but also contributes significantly to public health by reducing the risk of cross-contamination in shared touchpoints. As the world navigates the challenges posed by the pandemic, the adoption of touchless fingerprint recognition systems represents a crucial step toward creating safer and more hygienic environments.

1. Jain A.K., Nandakumar K., Ross A. 50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern Recogn. Lett., 2016, no.79, pp. 80–105.

2. Maltoni D., Maio D., Jain A., Prabhakar S. Handbook of Fingerprint Recognition. Chap. Fingerprint analysis and representation, 2nd edn., 2009, Springer, London, pp. 97–166.

3. Labati R.D., Scotti F. Encyclopedia of Cryptography and Security, Fingerprint, 2011, Springer US, Boston, pp. 460–465.

4. Labati R.D., Genovese A., Piuri V., Scotti F. Touchless fingerprint biometrics: A survey on 2d and 3d technologies. J. Internet Technol., 2014, no. 15(3), 328.

5. Song Y., Lee C., Kim J. International Symposium on Intelligent Signal Processing and Communication Systems, A new scheme for touchless fingerprint recognition system, 2004, IEEE, New York, pp. 524–527.

6. Parziale G., Chen Y. Handbook of Remote Biometrics. Advanced technologies for touchless fingerprint recognition, 2009, Springer, London, pp. 83–109.

7. Khalil M.S., Wan F.K. International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). A review of fingerprint pre-processing using a mobile phone, 2012, IEEE, New York, pp. 152– 157.

8. Malhotra A., Sankaran A., Mittal A., Vatsa M., Singh R. Human Recognition in Unconstrained Environments. Chapter fingerphoto authentication using smartphone camera captured under varying environmental conditions, 2017, Academic Press, New York, pp. 119–144.

9. Mil’shtein S., Pillai A. IEEE International Symposium on Technologies for Homeland Security (HST). Perspectives and limitations of touchless fingerprints, 2017, IEEE, New York, pp. 1–6.

10. Donida Labati R., Genovese A., Piuri V., Scotti F. Selfie Biometrics: Advances and ChallengesAdvances in Computer Vision and Pattern Recognition. A Scheme for Fingerphoto Recognition in Smartphones, 2019, Springer, Cham, pp. 49–66.

11. Cheng K., Kumar A. Contactless finger knuckle identification using smartphones. Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), 2012, pp. 1–6.

12. Putra G. et al. Android based palmprint recognition system. TELKOMNIKA, 2014, no. 12(1), pp. 263–272.

13. Raja K et al. Smartphone based visible iris recognition using deep sparse filtering. Pattern Recognit. Lett., 2015, no. 57(1), pp. 33–42.

14. Son B. et al. Method of recognizing contactless fingerprint and electronic device for performing the same. US Patent 0146943, 2015, May.

15. Sankaran A. et al. On smartphone camera based fingerphoto authentication. Proceedings of the 7th IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS), 2015, September, pp. 1–7.

16. Stein C., Nickel C., Busch C. Fingerphoto recognition with smartphone cameras. Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG), 2012, September, pp. 1–12.

17. Tiwari K., Gupta P. A touchless fingerphoto recognition system for mobile hand-held devices. Proceedings of the International Conference on Biomertrics (ICB), 2015, May, pp. 151–156.

18. Yang B. et al. Collecting fingerprints for recognition using mobile phone cameras. Proceedings of SPIE 8304: Multimedia on Mobile Devices, 2012.

19. Labati R. et al. Touchless fingerprint biometrics: a survey on 2D and 3D technologies. J. Internet Technol, 2014, no. 15(3), pp. 325–332.

20. Kumar A., Kwong C. Towards contactless, low-cost and accurate 3D fingerprint identification. IEEE Trans. Pattern Anal. Mach. Intell., 2015, no. 37(3), pp. 681–696.

21. Birajadar P., Haria M., Kulkarni P., Gupta S., Joshi P., Singh B. and Gadre V. Towards smartphone based touchless fingerprint recognition. Sādhanā, 2019, no. 44, pp. 1–15.

22. Priesnitz J., Rathgeb C., Buchmann N., Busch C. and Margraf M. An overview of touchless 2D fingerprint recognition. EURASIP Journal on Image and Video Processing, 2021, no.1, pp. 1–28.

23. Bruna J., Mallat S. Invariant scattering convolution networks. IEEE Trans. Pattern Anal. Mach. Intell., 2013, no. 35(8), pp. 1872–1886.