BackGround Checker


EOI: 10.11242/viva-tech.01.05.069

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Citation

Ms. Shubham R. Keni, Ms. Mihir P. Rabade, Ms. Sanjit R. Vaz, Karsihma Raut, "BackGround Checker", VIVA-IJRI Volume 1, Issue 5, Article 69, pp. 1-5, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Background Check is a process to verify the information provided by an individual. Now-a-days knowing a background / history of a person is very important if you are an employer to ensure safe environment for all the employees. NOC from local police station is mandatory for joining MNCs but for local business no such NOC is required, for them knowing the person’s background is important. It can also be useful for policemen trying to arrest the criminals who are resisting their arrest and are trying to hide. Being an employer, we are not sure about the background / history of the person who has applied for a reputed position in our company. In this project, we can search for a person’s background only using their face. It is an easy-to-use tool / website to understand more about any person

Keywords

Background, Face Identification, Face Recognition, Machine Learning, Web Portal

References

  1. “Proceedings of the Third International Conference on Computing Methodologies and Communication (ICCMC 2019) IEEE Xplore Part Number: CFP19K25-ART; ISBN: 978-1-5386-7808-4
  2. 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
  3. 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) 978-1-5386-9490-9/2019 IEEE
  4. Crime Management System Computer Science & Engineering Department, ABES Institute of technology, Campus 2, 19th Km. Stone, NH-24, Vijay Nagar, Ghaziabad.CRIME MANAGEMENT SYSTEM (CMS), Department of MCA, NMAMIT, Nitte, Udupi.
  5. Kushwaha, M. Singh, R. Singh, M. Vatsa, N. Ratha, and R. Chellappa, “Disguised faces in the wild,” in IEEE Conference on Computer Vision and Pattern Recognition Workshops.
  6. Piyush Kakkar, Vibhor Sharma, “Criminal identification system using Face Detection and Recognition ”, IJARCCE, Vol. 7,issue 3, March