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СКАЧАТЬ the end, similarity detection is achieved by using the Nearest Neighbor Approach where the classifiers can be trained using a suitable algorithm like K-Nearest Neighbor.

       STEPS:

      1 1. An image captured is used as input.

      2 2. Detect the image using fiducially points.

      3 3. Transform the image by cropping the subsequent markers.

      4 4. Apply Feature Selection and Feature Extraction for improved accuracy.

      5 5. Use the Feature Vector Extraction method requiring features offloaded from the criminal database on the cloud.

      6 6. Interpret and evaluate by comparing the two data sets.

      7 7. Use the Nearest Neighbor Approach to identify the similarities between two or more images.

      Biometrics pose danger to individual rights and privacy since technologies like facial recognition allow identification of citizens without their acknowledgement. Moreover, when consent is backed into the design of the technology, the privacy concerns regarding biometrics could be addressed [16].

      Any modern technology is laden with concealed threats with no claim of infallibility either by the software maker, person selling it, or the one who advocates its deployment. In the context of criminal justice administration research, it indicates that images captured with default camera settings preferably expose fair complexion rather than dark, affecting results of Facial Recognition Technology across racial groups. One methodology might be to utilize a technology-neutral regulatory framework that identifies degrees of damages.

      Biometric technologies have wide-ranging applications. They are being increasingly used every day for phone security, banks, and governments looking towards these technologies as security measures for verifying transactions. Important government organizations are using facial recognition technology to create databases using driver’s license and passport details for effective administration, socio-economic development, and law enforcement. The thought that refined innovation implies more prominent proficiency should be fundamentally dissected. As these technologies penetrate more and more into our everyday lives, it is imperative to know and be educated about them. A reasonable strategy with ample safeguards for data protection and privacy is the need of the hour.

      1. A.K. Jain and K. Nandakumar, “Biometric Authentication: System Security and User Privacy, “IEEE Published by the IEEE Computer Society, 00189162/12, Nov 2012.

      3. Bhargava, N., Bhargava, R., Rathore, P. S., & Kumar, A. (2020). Texture Recognition Using Gabor Filter for Extracting Feature Vectors With the Regression Mining Algorithm. International Journal of Risk and Contingency Management (IJRCM), 9(3), 31-44. doi:10.4018/IJRCM.2020070103.

      4. Chandra Shekharv Vorugunti, “A Secure and efficient Biometric Authentication as a service for cloud computing,” 1 IEEE, October 09-11, 2014.

      5. G.R Mettu and A. Patil, “Data Breaches as top Security concerns in Cloud Computing”, International Journal of Pure and Applied Mathematics, 119(14):19-27,2018.

      6. Haryatibinti Jaafar, Nordianabinti, Mukahar, Dzati Athiarbinti Ramli “A Methodology of Nearest Neighbor: Design and Comparison of Biometric Image Database” IEEE Student Conference on Research and Development, 2016.

      7. Indu, P.M Rubesh Anand and V.Bhaskar, “Identity and Access management in Cloud Environment :Mechanisms and Challenges,” Elsevier Engineering Science and Technology, an International Journal 21 (2018) 574-588, 2018.

      8. K Sarat Chand and Dr. B Kezia. Rani, “Biometric Authentication using SaaS in Cloud Computing,” International Research Journal of Engineering and Technology (IRJET), Volume: 05 Issue: 02, Feb-2018.

      9. Kumar, A., Chatterjee, J. M., & Díaz, V. G. (2020). A novel hybrid approach of svm combined with nlp and probabilistic neural network for email phishing. International Journal of Electrical and Computer Engineering, 10(1), 486

      10. N. Bhargava, S. Dayma, A. Kumar and P. Singh, “An approach for classification using simple CART algorithm in WEKA,” 2017 11th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, 2017, pp. 212–216, doi: 10.1109/ISCO.2017.7855983.

      11. Naveen Kumar, Prakarti Triwedi, Pramod Singh Rathore, “An Adaptive Approach for image adaptive watermarking using Elliptical curve cryptography (ECC)”, First International Conference on Information Technology and Knowledge Management pp. 89–92, ISSN 2300-5963 ACSIS, Vol. 14 DOI: 10.15439/2018KM19.

      12. Rathore, P.S., Chatterjee, J.M., Kumar, A. et al. Energy-efficient cluster head selection through relay approach for WSN. J Supercomput (2021). https://doi.org/10.1007/s11227-020-03593-4

      13. S. Bawaskar and M. Verma, “Enhanced SSO based MultiFactor Authentication for Web Security”, International Journal of Computer Science and Information Technologies, Vol. 7 (2), 2016, 960-966, 2016.

      15. Singh Rathore, P., Kumar, A., & Gracia-Diaz, V. (2020). A Holistic Methodology for Improved RFID Network Lifetime by Advanced Cluster Head Selection using Dragonfly Algorithm. International Journal Of Interactive Multimedia And Artificial Intelligence, 6 (Regular Issue), 8. http://doi.org/10.9781/ijimai.2020.05.003.

      16. Thangapandiyan, M., Anand, P.M., & Sankaran, K. (2018). Quantum Key Distribution and Cryptography Mechanisms for Cloud Data Security. 2018 International Conference on Communication and Signal Processing (ICCSP), 1031-1035.

      17. Joshua C. Klontz, Brendan F. Klare, Scott Klum, Anil K. Jain, Mark J. Burge, “Open source biometric recognition”, Biometrics: Theory Applications and Systems (BTAS) 2013 IEEE Sixth International Conference on, pp. 1–8, 2012.

      18. Patil, Archana and Patil, Dr. Rekha, An Analysis Report on Green Cloud Computing Current Trends and Future Research Challenges (March 19, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3355151 СКАЧАТЬ