Facial Detection and Recognition System Using Python

Dwadasi Priyamvada Rao; Shraddha Taunk; Nirali Kansara; Apurva Gupta

doi:10.59367/ijfiest.v1i1.9

Authors

Dwadasi Priyamvada Rao Computer Science & Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India
Shraddha Taunk Assistant Professor Computer Science & Engineering Shri Shankaracharya Institute of Professional Management and Technology
Nirali Kansara Computer Science and Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India
Apurva Gupta Computer Science and Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India

DOI:

https://doi.org/10.59367/ijfiest.v1i1.9

Keywords:

Python, Image Processing, OpenCV, Face Detection, Face Recognition

Abstract

Most of us are already aware of the fact that each time we upload a photograph in social media, the platform uses biometric authentication algorithms. But not many of us are aware that it can be made by a language as popular as python, which is both simple to learn and efficient enough to build major algorithms, most of which are a part of the field of deep learning. The language also has a variety of libraries that serves as a pool of resources to perform some exciting tasks like graph plotting, AI based algorithms etc. To aid us with the necessary tools to perform this kind of detection, we have used the very famous OpenCV library. This project helped us brush up our skills and expand our knowledge in the field of python. The target is to train the machine to determine, identify and process images like humans. This paper shows our study about various ways by which this can be done and the methodology opted by us.

Author Biographies

Dwadasi Priyamvada Rao, Computer Science & Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India
Shraddha Taunk, Assistant Professor Computer Science & Engineering Shri Shankaracharya Institute of Professional Management and Technology
Nirali Kansara, Computer Science and Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India
Apurva Gupta, Computer Science and Engineering Shri Shankaracharya Institute of Professional Management and Technology, Raipur Chhattisgarh, India

References

MAMATA S. KALAS, REAL TIME FACE DETECTION AND TRACKING USING OPENCV, Proceedings of IRF International Conference, 5th & 6th February 2014, Pune India. , ISBN: 978-9382702-56-6, Page no.1.

J. Manikandan, S. Lakshmi Prathyusha, P. Sai Kumar, Y. Jaya Chandra, M. Umaditya Hanuman. Face Detection and Recognition using Opencv Based on Fisher Faces Algorithm, Proceedings of International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, page no. 1 Face Detection and Recognition using Opencv ... – IJRTE

Shervin EMAMI1 , Valentin Petruț SUCIU2, Facial Recognition using OpenCV, Proceedings of Journal of Mobile, Embedded and Distributed Systems, ISSN: 2067 – 4074, page no. 2, (PDF) Facial Recognition using OpenCV – ResearchGate

Shervin EMAMI,ValentinPetruțSUCIU,Facial Recognition using OpenCV, Journal of Mobile, Embedded and Distributed Systems,2012, ISSN 2067-4074, P.no.38,https://www.researchgate.net/publication/267426877_Facial_ Recognition_using_OpenCV

Manav Bansal, Sohan Garg, Facial Detection & Recognition Using Open CV library, Proceedings of 2Sir Chhotu Ram Institute of Engg. and Tech., CCS University, Meerut, Uttar Pradesh, India, ISSN : 0976-8491,Facial Detection & Recognition Using Open CV library - ijcst

Manav Bansal, Face Recognition Implementation on Raspberry Pi Using Opencv and Python, Proceedings of International Journal of Computer Engineering and Technology. pp. 141-144., ISSN Print: 0976-6367 and ISSN Online: 0976–6375

D. P. A. A. Mr. Suman Kumar Swarnkar, ‘Improved Convolutional Neural Network based Sign Language Recognition’, International Journal of Advanced Science and Technology, vol. 27, no. 1, pp. 302–317, 2019.

V. Verma, Suman Kumar Swarnkar, and V. Swarnkar, ‘Iris Recognition System Using Adaptive Neuro Fuzzy Inference System Classifier’, 2017.

B. Chandel and Suman Kumar Swarnkar, ‘STOCK PREDICTION USING FINANCIAL DATA AND NEWS SENTIMENTAL ANALYSIS’, 2021.

Suman Kumar Swarnkar, A. Ambhaikar, V. K. Swarnkar, and U. Sinha, ‘Optimized Convolution Neural Network (OCNN) for Voice-Based Sign Language Recognition: Optimization and Regularization’, in Information and Communication Technology for Competitive Strategies (ICTCS 2020), 2020, p. 633.

S. Agarwal, J. P. Patra, and Dr Suman Kumar Swarnkar, ‘Convolutional Neural Network Architecture Based Automatic Face Mask Detection’, International Journal of Health Sciences, no. SPECIAL ISSUE III, p. 623-629, 2022.

V. S. Vivek Chandrakar and Suman Kumar Swarnkar, ‘A Naive Bayes Approach for Word Prediction using NLP’, International Journal for Scientific Research and Development, vol. 6, no. 7, pp. 401–407, 2018.

Suman Kumar Swarnkar, Ruby Chandrakar, ‘Telemedicine Cryptography using DNA Sequence’, International Journal for Research in Applied Science and Engineering Technology, vol. 5, no. 12, pp. 2122–2129, 2017.

Suman Kumar Swarnkar, Bindeshwari Chandel, ‘STOCK PREDICTION USING FINANCIAL DATA AND NEWS SENTIMENTAL ANALYSIS’, Journal of Xi’ an Shiyou University, Natural Science Edition, vol. 16, no. 9, pp. 279–285, 2020.

Suman Kumar Swarnkar, Gurpreet Singh Chhabra, Abhishek Guru, Bhawna Janghel, Prashant Kumar Tamrakar, Upasana Sinha, 'Underwater Image Enhancement Using D-Cnn', NeuroQuantology, vol. 20, no. 11, pp. 2157–2163, 2022.

Suman Kumar Swarnkar, Abhishek Guru, Gurpreet Singh Chhabra, Prashant Kumar Tamrakar, Bhawna Janghel, Upasana Sinha, 'Deep learning techniques for medical image segmentation & classification', International Journal of Health Sciences, vol. 6, no. S10, pp. 408–421, 2022.

Suman Kumar Swarnkar, Bhumika Chandrakar, ‘A Novel Appraoch for Brain Tumor Detection using SOM and Fuzzy Classifier’, International Journal of Emerging Technologies and Innovative Research, vol. 5, no. 6, pp. 413–420, 2018.

Suman Kumar Swarnkar, Ms. Preeti Bhole Mr. Suman Kumar Swarnkar, ‘HYBRID BASED RECOMMENDATION SYSTEM USING SWITCHING TECHNIQUE’, International Journal for Science and Advance Research In Technology, vol. 3, no. 11, pp. 103–109, 2017.