Train Ticket Inspection and Validation Using Biometrics

  • Authors

    • Ms M.Gowthami
    • Mr P.Karthikeyan
    • P Kishore
    • R Arun Aravinth
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.18121
  • Fingerprint, Quick Response Code, Mobile Ticketing, Server, Cloud.
  • The current suburban railway system comprises of some challenges, that is the tickets has to be checked manually and the population travelling through train have also increased immensely. This resulted in various issues such as never ending queues, wastage of paper, lots of resources and staff utilization and this is the Existing system. In the Proposed system, if the user intends to travel from a source to destination with no intention to return on the very same day, then only half ticket costing will be taken into consideration. Modification Part of the Project is our Implementation, Android User books the Outstation Ticket by specifying Source & destination with number of Tickets using Aadhaar Card. QR Code is generated comprising all of the above. Once User gets into train, user has to give Finger Print & Scan QR Code to take up their seat. The seat of passengers who hasn’t arrived is dynamically allocated to Waiting list. All the information are transferred to TTR.

     

     

  • References

    1. [1] Roy, Aditi, NasirMemon, and Arun Ross. "MasterPrint: exploring the vulnerability of partial fingerprint-based authentication systems." IEEE Transactions on Information Forensics and Security 12.9 (2017): 2013-2025.

      [2] Dudheria, Rishabh. "Evaluating Features and Effectiveness of Secure QR Code Scanners." Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2017 International Conference on. IEEE, 2017.

      [3] Han, Byron B., Craig A. Marciniak, and Wayne C. Westerman. "Fingerprint sensing and enrollment." U.S. Patent No. 9,202,099. 1 Dec. 2015.

      [4] Marasco, Emanuela, and Arun Ross. "A survey on antispoofing schemes for fingerprint recognition systems." ACM Computing Surveys (CSUR) 47.2 (2015): 28.

      [5] Pandya, Kinjal H., and Hiren J. Galiyawala. "A Survey on QR Codes: in context of Research and Application." International Journal of Emerging Technology and Advanced Engineering4.3 (2014): 258-262.

      [6] Ceipidor, U. Biader, et al. "Mobile ticketing with NFC management for transport companies. Problems and solutions." NearField Communication (NFC), 2013 5th International Workshop on. IEEE, 2013.

      [7] Dey, Somdip. "SD-eqr: A new technique to use qrcodestm in cryptography." arXiv preprint arXiv:1205.4829 (2012).

      [8] Bonneau, Joseph. "The science of guessing: analyzing an anonymized corpus of 70 million passwords." Security and Privacy (SP), 2012 IEEE Symposium on. IEEE, 2012.

      [9] Zhang, Yinqian, et al. "Homealone: Co-residency detection in the cloud via side-channel analysis." Security and Privacy (SP), 2011 IEEE Symposium on. IEEE, 2011.

      [10] Cao, Kai, et al. "Fingerprint matching by incorporating minutiae discriminability." Biometrics (IJCB), 2011 International Joint Conference on. IEEE, 2011.

      [11] Devillers, Martin MA. "Analyzing password strength." Radboud University Nijmegen, Tech. Rep 2 (2010).

      [12] Jain, Anil K., Yi Chen, and MeltemDemirkus. "Pores and ridges: High-resolution fingerprint matching using level 3 features." IEEE transactions on pattern analysis and machine intelligence 29.1 (2007): 15-27.

      [13] Cracco, Emiel, Nicolas Dirix, and Christopher P. ReindersFolmer. "The role of specificity and apologies in excuse messages following train delay." Journal of Public Transportation 20.2 (2017):131-

      [14] Bonneau, Joseph, SörenPreibusch, and Ross Anderson. "A birthday present every eleven wallets? The security of customer-chosen banking PINs." International Conference on Financial Cryptography and Data Security. Springer, Berlin, Heidelberg, 2012.

      [15] Chan, Philip K., and Salvatore J. Stolfo. "Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection." KDD. Vol. 98. 1998

  • Downloads

  • How to Cite

    M.Gowthami, M., P.Karthikeyan, M., Kishore, P., & Arun Aravinth, R. (2018). Train Ticket Inspection and Validation Using Biometrics. International Journal of Engineering & Technology, 7(2.33), 1288-1291. https://doi.org/10.14419/ijet.v7i2.33.18121