Submit your paper : editorIJETjournal@gmail.com Paper Title : USER IDENTITY RECOGNITION SYSTEM USING IMAGE PROCESSING ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.7339517 MLA Style: -Mohammed Imran SK, GVS Bhvayasri, C Amrutha, Paruchuri Sai likitha USER IDENTITY RECOGNITION SYSTEM USING IMAGE PROCESSING , Volume 8 - Issue 6 November - December 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: -Mohammed Imran SK, GVS Bhvayasri, C Amrutha, Paruchuri Sai likitha USER IDENTITY RECOGNITION SYSTEM USING IMAGE PROCESSING , Volume 8 - Issue 6 November - December 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract In the era of cloud computing, face recognition, one of the most useful applications of image processing, is essential. Human face recognition is a key issue for verification, especially when it comes to tracking student attendance. The objective of this work is to implement an image processing-based automated system for monitoring attendance to both capture the photos and store the dataset. This classroom camera system recognises faces and logs the information in an excel spreadsheet. Reference [1]. Ofualagba Godswill, Omijie Osas, Orobor Anderson, Ibhadode Oseikhuemen, Odiete Etse. Automated Student Attendance Management System Using Face Recognition(2018). International Journal of Educational Research and Information Science. Vol. 5, No. 4, 2018, pp. 31-37. [2]. G. Singh and A. K. Goel, "Face Detection and Recognition System using Digital Image Processing," 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 2020, pp. 348-352, doi: 10.1109/ICIMIA48430.2020.9074838. [3]. Bah, S.M. and Ming, F. (2019) An improved face recognition algorithm and its application in attendance management system, Array. Elsevier. Available at: https://www.sciencedirect.com/science/article/pii/S2590005619300141 (Accessed: November 4, 2022). [4]. Face recognition (2021) Electronic Frontier Foundation. Available at: https://www.eff.org/pages/face-recognition (Accessed: November 4, 2022). [5]. Bhele, S.G. and V. H. Mankar (2012) A Review Paper on Face Recognition Techniques, reasearch gate. Available at: https://www.researchgate.net/profile/Vijay-Mankar/publication/270583005_A_Review_Paper_on_Face_Recognition_Techniques/links/54b4c5c10cf28ebe92e48372/A-Review-Paper-on-Face-Recognition-Techniques.pdf (Accessed: November 4, 2022). [6]. L. Li, X. Mu, S. Li and H. Peng, "A Review of Face Recognition Technology," in IEEE Access, vol. 8, pp. 139110-139120, 2020, doi: 10.1109/ACCESS.2020.3011028. [7].Mahamkali, Naveenkumar & Ayyasamy, Vadivel. (2015). OpenCV for Computer Vision Applications.. [8]. Arunkumar, Sharmila & Sharma, Raman & Kumar, Dhananjay & Puranik, Vaishali & Gautham, Kritika. (2019). Performance Analysis of Human Face Recognition Techniques. 1-4. 10.1109/IoT-SIU.2019.8777610. [9]. P. Tyagi, M. Kaushik, H. K. Singh and N. Jaiswal, "Attendance System Implementation Using Real Time Face Recognition," 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021, pp. 1-5, doi: 10.1109/ICRITO51393.2021.9596399. [10]. Smitha, & Hegde, Pavithra & Afshin,. (2020). Face Recognition based Attendance Management System. International Journal of Engineering Research and. V9. 10.17577/IJERTV9IS050861. [11].TechSciResearch, https://www.techsciresearch.com/ (no date) Blog description, Future of Facial Recognition Technology TechSci Research. Available at: https://www.techsciresearch.com/blog/future-of-facial-recognition-technology/105.html (Accessed: November 5, 2022). Keywords — Face recognition, Image Processing, Face Detection, Attendance, Dataset, Excel . |