Document Type : Review Paper
Authors
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
Abstract
Face Recognition has received a great deal of attention over the past few years and has become one of the most researched and spoken topics. It is a kind of automated biometric distinguishing approach that recognizes an individual based on their facial characteristics. The main aim of face reorganization is to implement the system for a particular face and distinguish it from a large number of stored faces with some real-time variations as well. Face recognition is in trend these days, the main reason being its efficiency and vast applications in day to day life. *Most* all the Telecom companies provide an option to unlock the phones by recognizing the face, which is a time saver and gives protection from theft as well. There are many more such applications of this technique that will be discussed in this paper along with the methods used for face recognition.
Keywords
- Face recognition
- Face detection
- Knowledge-based
- Feature-invariant
- Template matching
- Appearance-based
Main Subjects
- Broumi, S., Dey, A., Talea, M., Bakali, A., Smarandache, F., Nagarajan, D., ... & Kumar, R. (2019). Shortest path problem using Bellman algorithm under neutrosophic environment. Complex and intelligent systems, 5(4), 409-416.
- Kumar, R., Dey, A., Broumi, S., & Smarandache, F. (2020). A study of neutrosophic shortest path problem. In Neutrosophic graph theory and algorithms(pp. 148-179). IGI Global. DOI: 4018/978-1-7998-1313-2.ch006
- Kumar, R., Edalatpanah, S. A., Jha, S., Broumi, S., Singh, R., & Dey, A. (2019). A multi objective programming approach to solve integer valued neutrosophic shortest path problems. Neutrosophic sets and systems, 24, 134-149.
- Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A novel approach to solve gaussian valued neutrosophic shortest path problems. International journal of engineering and advanced technology, 8(3), 347-353.
- Kumar, R., Edaltpanah, S. A., Jha, S., Broumi, S., & Dey, A. (2018). Neutrosophic shortest path problem. Infinite Study.
- Pratihar, J., Kumar, R., Dey, A., & Broumi, S. (2020). Transportation problem in neutrosophic environment. In Neutrosophic graph theory and algorithms(pp. 180-212). IGI Global. DOI: 10.4018/978-1-7998-1313-2.ch007
- Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A pythagorean fuzzy approach to the transportation problem. Complex and intelligent systems, 5(2), 255-263. https://doi.org/10.1007/s40747-019-0108-1
- Pratihar, J., Kumar, R., Edalatpanah, S. A., & Dey, A. (2021). Modified Vogel’s approximation method for transportation problem under uncertain environment. Complex & intelligent systems, 7(1), 29-40. https://doi.org/10.1007/s40747-020-00153-4
- Gayen, S., Jha, S., Singh, M., & Kumar, R. (2019). On a generalized notion of anti-fuzzy subgroup and some characterizations. International journal of engineering and advanced technology, 8(3), 385-390.
- Gayen, S., Smarandache, F., Jha, S., & Kumar, R. (2020). Interval-valued neutrosophic subgroup based on interval-valued triple t-norm. In Neutrosophic sets in decision analysis and operations research(pp. 215-243). IGI Global. DOI: 4018/978-1-7998-2555-5.ch010
- Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Introduction to plithogenic subgroup. In Neutrosophic graph theory and algorithms(pp. 213-259). IGI Global. DOI: 4018/978-1-7998-1313-2.ch008
- Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Soft subring theory under interval-valued neutrosophic environment. Neutrosophic sets and Systems 36. https://digitalrepository.unm.edu/nss_journal/vol36/iss1/16
- Gayen, S., Smarandache, F., Jha, S., & Kumar, R. (2020). Introduction to interval-valued neutrosophic subring. Neutrosophic sets and systems, 36. https://digitalrepository.unm.edu/nss_journal/vol36/iss1/17
- Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Introduction to plithogenic hypersoft subgroup. Neutrosophic sets and systems, 36. https://digitalrepository.unm.edu/nss_journal/vol33/iss1/14
- Kumar, R., Edalatpanah, S. A., & Mohapatra, H. (2020). Note on “Optimal path selection approach for fuzzy reliable shortest path problem”. Journal of intelligent and fuzzy systems, 39(5), 7653-7656. DOI:3233/JIFS-200923
- Kumar, R., Jha, S., & Singh, R. (2020). A different approach for solving the shortest path problem under mixed fuzzy environment. International journal of fuzzy system applications (IJFSA), 9(2), 132-161. DOI: 4018/IJFSA.2020040106
- Kumar, R., Jha, S., & Singh, R. (2017). Shortest path problem in network with type-2 triangular fuzzy arc length. Journal of applied research on industrial engineering, 4(1), 1-7.
- Kumar, R., Edalatpanah, S. A., Jha, S., Gayen, S., & Singh, R. (2019). Shortest path problems using fuzzy weighted arc length. International journal of innovative technology and exploring engineering, 8(6), 724-731.
- Kumar, R., Edalatpanah, S. A., Gayen, S., & Broum, S. (2021). Answer note “A novel method for solving the fully neutrosophic linear programming problems: suggested modifications”. Neutrosophic sets and systems, 39(1), 148-152. https://digitalrepository.unm.edu/cgi/viewcontent.cgi?article=1751&context=nss_journal
- Mohapatra, H., Panda, S., Rath, A., Edalatpanah, S., & Kumar, R. (2020). A tutorial on powershell pipeline and its loopholes. International journal of emerging trends in engineering research, 8(4), 975-982.
- Mohapatra, H., Rath, S., Panda, S., & Kumar, R. (2020). Handling of man-in-the-middle attack in wsn through intrusion detection system. International journal, 8(5), 1503-1510.
- Mohapatra, H., Debnath, S., & Rath, A. K. (2019). Energy management in wireless sensor network through EB-LEACH. International journal of research and analytical reviews (IJRAR), 56-61. https://easychair.org/publications/preprint/tf5s
- Mohapatra, H., Rath, A. K., Landge, P. B., Bhise, D. H. I. R. A. J., Panda, S., & Gayen, S. A. (2020). A comparative analysis of clustering protocols of wireless sensor network. International journal of mechanical and production engineering research and development (IJMPERD) ISSN (P), 10(3), 2249-6890.
- Mohapatra, H., & Rath, A. K. (2020). Survey on fault tolerance-based clustering evolution in WSN. IET networks, 9(4), 145-155. DOI: 1049/iet-net.2019.0155
- Mohapatra, H., Debnath, S., Rath, A. K., Landge, P. B., Gayen, S., & Kumar, R. (2020). An efficient energy saving scheme through sorting technique for wireless sensor network. International journal, 8(8), 4278-4286.
- Mohapatra, H., & Rath, A. K. (2020). Fault tolerance in WSN through uniform load distribution function. International journal of sensors, wireless communications and control, 10(1), 1-10. https://doi.org/10.2174/2210327910999200525164954
- Mohapatra, H., & Rath, A. K. (2019). Fault tolerance through energy balanced cluster formation (EBCF) in WSN. In Smart innovations in communication and computational sciences, 851, 313-321. Singapore: Springer. https://doi.org/10.1007/978-981-13-2414-7_29
- Mohapatra, H., & Rath, A. K. (2019). Fault tolerance in WSN through PE-LEACH protocol. IET wireless sensor systems, 9(6), 358-365. DOI: 1049/iet-wss.2018.5229
- Mohapatra, H. (2018). C programming: practice. Amazon Kindle.
- Mohapatra, H., & Rath, A. K. (2020). Fundamentals of software engineering: designed to provide an insight into the software engineering concepts. BPB Publications.
- Mohapatra, H. I. T. E. S. H. (2009). HCR using neural network (Master's thesis, College of Biju Patnaik University of Technology, Odisha). DOI: 13140/RG.2.2.21287.24488
- Panda, M., Pradhan, P., Mohapatra, H., & Barpanda, N. K. (2019). Fault tolerant routing in heterogeneous environment. International journal of scientific and technology research, 8(8), 1009-1013.
- Furtado, F., & Singh, A. (2020). Movie recommendation system using machine learning. International journal of research in industrial engineering, 9(1), 84-98.
- Singh, A., Herunde, H., & Furtado, F. (2020). Modified Haar-cascade model for face detection issues. International journal of research in industrial engineering, 9(2), 143-171.
- Herunde, H., Singh, A., Deshpande, H., & Shetty, P. (2020). Detection of pedestrian and different types of vehicles using image processing. International journal of research in industrial engineering, 9(2), 99-113.
- Mohapatra, H. (2020). Offline drone instrumentalized ambulance for emergency situations. International journal of robotics and automation (IJRA), 9(4), 251-255.
- Mohapatra, H., & Rath, A. K. (2019). Detection and avoidance of water loss through municipality taps in India by using smart taps and ICT. IET wireless sensor systems, 9(6), 447-457. DOI: 1049/iet-wss.2019.0081
- Panda, H., Mohapatra, H., & Rath, A. K. (2020). WSN-based water channelization: an approach of smart water. Smart cities—opportunities and challenges, 58, 157-166.
- Rout, S. S., Mohapatra, H., Nayak, R. K., Tripathy, R., Bhise, D., Patil, S. P., & Rath, A. K. (2020). Smart Water Solution for Monitoring of Water Usage Based on Weather Condition. International journal of engineering and technical research, 8(9), 5335-5343.
- Solanki, D. V., & Kothari, A. M. (2015). Comparative survey of face recognition techniques. International journal of advance engineering and research development (IJAERD). DOI: 21090/IJAERD.T1036209
- Parmar, D. N., & Mehta, B. B. (2014). Face recognition methods & applications. arXiv preprint arXiv:1403.0485
- Sharif, M., Mohsin, S., & Javed, M. Y. (2012). A survey: face recognition techniques. Research journal of applied sciences, engineering and technology, 4(23), 4979-4990.
- Rathore, N., Chaubey, D., & Rajput, N. (2013). A survey on face detection and recognition. International journal of computer architecture and mobility, 1(5), 301-305.
- Solanki, K., & Pittalia, P. (2016). Review of face recognition techniques. International journal of computer applications, 133(12), 20-24.
- Jafri, R., & Arabnia, H. R. (2009). A survey of face recognition techniques. Journal of information processing systems, 5(2), 41-68.
- Dhotkar, R. D., Chandore, M. P. R., & Chatur, P. N. (2014). Face recognition techniques and its application. International journal of application or innovation in engineering and management (IJAIEM), 3(3), 489-500.
- Tabatabaie, Z. S., Rahmat, R. W., Udzir, N. I. B., & Kheirkhah, E. (2009). A hybrid face detection system using combination of appearance-based and feature-based methods. International journal of computer science and network security, 9(5), 181-185.
- Karungaru, S., Fukumi, M., & Akamatsu, N. (2004, October). Face recognition using genetic algorithm based template matching. In IEEE international symposium on communications and information technology, 2004. ISCIT 2004.(Vol. 2, pp. 1252-1257). IEEE. DOI: 1109/ISCIT.2004.1413920
- Kachare, N. B., & Inamdar, V. S. (2010). Survey of face recognition techniques. International journal of computer applications, 1(19), 30-34.
- Beham, M. P., & Roomi, S. M. M. (2012, February). Face recognition using appearance-based approach: A literature survey. Proceedings of International conference & workshop on recent trends in technology (pp. 16-21). Mumbai, Maharashtra, India.
- Kour, A. (2015). Face recognition using template matching. International journal of computer applications, 115(8). https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.695.2250&rep=rep1&type=pdf
- Pandya, J. M., Rathod, D., & Jadav, J. J. (2013). A survey of face recognition approach. International journal of engineering research and applications (IJERA), 3(1), 632-635.
- Omoyiola, B. O. (2018). Overview of biometric and facial recognition techniques. IOSR journal of computer engineering (IOSRJCE), 20(4), 1-5.
- Jeong, M., Lee, C., Kim, J., Choi, J. Y., Toh, K. A., & Kim, J. (2006, September). Changeable biometrics for appearance based face recognition. 2006 biometrics symposium: special session on research at the biometric consortium conference(pp. 1-5). IEEE. DOI: 1109/BCC.2006.4341629