CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Face Detection and Recognition using OpenCV

by Ajay Kumar, Shivansh Chaudhary, Sonik Sangal, Raj Dhama
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 11
Year of Publication: 2022
Authors: Ajay Kumar, Shivansh Chaudhary, Sonik Sangal, Raj Dhama
10.5120/ijca2022922085

Ajay Kumar, Shivansh Chaudhary, Sonik Sangal, Raj Dhama . Face Detection and Recognition using OpenCV. International Journal of Computer Applications. 184, 11 ( May 2022), 23-32. DOI=10.5120/ijca2022922085

@article{ 10.5120/ijca2022922085,
author = { Ajay Kumar, Shivansh Chaudhary, Sonik Sangal, Raj Dhama },
title = { Face Detection and Recognition using OpenCV },
journal = { International Journal of Computer Applications },
issue_date = { May 2022 },
volume = { 184 },
number = { 11 },
month = { May },
year = { 2022 },
issn = { 0975-8887 },
pages = { 23-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number11/32369-2022922085/ },
doi = { 10.5120/ijca2022922085 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:11.813134+05:30
%A Ajay Kumar
%A Shivansh Chaudhary
%A Sonik Sangal
%A Raj Dhama
%T Face Detection and Recognition using OpenCV
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 11
%P 23-32
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

OpenCV from Intel is a free and open-source image and video processing library. It is related to computer vision in terms of feature and object recognition, as well as machine learning. This paper introduces the main OpenCV modules, features, and Python-based OpenCV. The paper also discusses common OpenCV applications and classifiers that are used in these applications, such as image processing, face detection, face recognition, and object detection. Finally, we discuss some literary reviews of OpenCV applications in computer vision fields such as face detection and recognition, recognition of facial expressions such as sadness, anger, and happiness, and recognition of a person's gender and age.

References
  1. Jagtap, A. M., Kangale, V., Unune, K., & Gosavi, P. (2019, February). A Study of LBPH, Eigenface, Fisherface and Haar-like features for Face recognition using OpenCV. In 2019 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 219-224). IEEE
  2. Sigut, J., Castro, M., Arnay, R., & Sigut, M. (2020). OpenCV basics: a mobile application to support the teaching of computer vision concepts. IEEE Transactions on Education, 63(4), 328-335
  3. Adusumalli, H., Kalyani, D., Sri, R. K., Pratapteja, M., & Rao, P. P. (2021, February). Face Mask Detection Using OpenCV. In 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (pp. 1304-1309). IEEE
  4. Mostafa, S. A., Mustapha, A., Gunasekaran, S. S., Ahmad, M. S., Mohammed, M. A., Parwekar, P., & Kadry, S. (2021). An agent architecture for autonomous UAV flight control in object classification and recognition missions. Soft Computing, 1-14
  5. Hoque, M. A., Islam, T., Ahmed, T., & Amin, A. (2020, March). Autonomous face detection system from real- time video streaming for ensuring the intelligence security system. In 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) (pp. 261-265). IEEE
  6. Soomro, Z. A., Memon, T. D., Naz, F., & Ali, A. (2020, January). FPGA Based Real-Time Face Authorization System for Electronic Voting System. In 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-6). IEEE
  7. Gupta, S. (2018, January). Facial emotion recognition in real-time and static images. In 2018 2nd international conference on inventive systems and control (ICISC) (pp. 553-560). IEEE
  8. Dino, H., Abdulrazzaq, M. B., Zeebaree, S. R., Sallow, A. B., Zebari, R. R., Shukur, H. M., & Haji, L. M. (2020). Facial expression recognition based on hybrid feature extraction techniques with different classifiers. TEST Engineering & Management, 83, 22319-22329
  9. Kashinath, S. A., Mostafa, S. A., Mustapha, A., Mahdin, H., Lim, D., Mahmoud, M. A., ... & Yang, T. J. (2021). Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis. IEEE Access
  10. Abdulrazaq, M. B., Mahmood, M. R., Zeebaree, S. R., Abdulwahab, M. H., Zebari, R. R., & Sallow, A. B. (2021, February). An analytical appraisal for supervised classifiers’ performance on facial expression recognition based on relief-F feature selection. In Journal of Physics: Conference Series (Vol. 1804, No. 1, p. 012055). IOP Publishing
  11. Sriratana, W., Mukma, S., Tammarugwattana, N., & Sirisantisamrid, K. (2018, July). Application of the OpenCV- Python for Personal Identifier Statement. In 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) (pp. 1-4). IEEE
  12. James, C., & Nettikadan, D. (2019, April). Student monitoring system for school bus using facial recognition. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 659-663). IEEE
  13. Balachandran, B., Saad, K. F., Patel, K., & Mekhiel, N. (2019, December). Parallel Computer for Face Recognition Using Artificial Intelligence. In 2019 14th International Conference on Computer Engineering and Systems (ICCES) (pp. 158-162). IEEE
  14. Salihbašić, A., & Orehovački, T. (2019, May). Development of android application for gender, age and face recognition using opencv. In2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 1635-1640). IEEE
  15. Apoorva, P., Impana, H. C., Siri, S. L., Varshitha, M. R., & Ramesh, B. (2019, March). Automated criminal identification by face recognition using open computer vision classifiers. In 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) (pp. 775-778). IEEE
  16. Gupta, N., Sharma, P., Deep, V., & Shukla, V. K. (2020, June). Automated attendance system using OpenCV. In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1226-1230). IEEE
  17. Srivastava, M., Kumar, A., Dixit, A., & Kumar, A. (2020, February). Real time attendance system using face recognition technique. In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) (pp. 370-373). IEE
  18. Sharma, V. K. (2019, May). Designing of Face Recognition System. In 2019 International Conference on Intelligent Computing and Control Systems (ICCS) (pp. 459-461). IEEE
  19. Das, A., Ansari, M. W., & Basak, R. (2020, December). Covid-19 Face Mask Detection Using TensorFlow, Keras and OpenCV. In 2020 IEEE 17th India Council International Conference (INDICON) (pp. 1-5). IEEE
  20. Mehariya, J., Gupta, C., Pai, N., Koul, S., & Gadakh, P. (2020, July). Counting Students using OpenCV and Integration with Firebase for Classroom Allocation. In 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) (pp. 624-629). IEEE
  21. Boyko, N., Basystiuk, O., & Shakhovska, N. (2018, August). Performance evaluation and comparison of software for face recognition, based on dlib and opencv library. In 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP) (pp. 478-482). IEEE
  22. Alcantara, G. K. L., Evangelista, I. D. J., Malinao, J. V. B., Ong, O. B., Rivera, R. S. D., & Ambata, E. L. U. (2018). Head detection and tracking using OpenCV. In 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (pp. 1-5). IEEE
  23. Patel, R., Patel, M., & Patel, J. (2018, April). Real Time Somnolence Detection System In OpenCV Environment for Drivers. In2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) (pp. 407-410). IEEE
  24. Sharma, S., & Jain, S. (2019, March). A static hand gesture and face recognition system for blind people. In 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 534-539). IEEE.
  25. Zhu, Z., & Cheng, Y. (2020). Application of attitude tracking algorithm for face recognition based on OpenCV in the intelligent door lock. Computer Communications, 154, 390-397
  26. Chandan, G., Jain, A., & Jain, H. (2018, July). Real time object detection and tracking using Deep Learning and OpenCV. In 2018 international conference on inventive research in computing applications (ICIRCA) (pp. 1305- 1308). IEEE
  27. Khan, M., Chakraborty, S., Astya, R., & Khepra, S. (2019, October). Face Detection and Recognition Using OpenCV. In2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 116-119). IEEE.
  28. Palekar, R. R., Parab, S. U., Parikh, D. P., & Kamble, V. N. (2017, April). Real time license plate detection using openCV and tesseract. In 2017 international conference on communication and signal processing (ICCSP) (pp. 2111-2115). IEEE
Index Terms

Computer Science
Information Sciences

Keywords

OpenCV Face Detection Object Detection Eigenfaces Faster R-CNN Fisherfaces

Powered by PhDFocusTM