Face Detection and Recognition using Machine Learning Techniques
PDF
PDF

How to Cite

Vijayalakshmi, S., J. Uma Maheswari, and K. Jananiyie. 2023. “Face Detection and Recognition Using Machine Learning Techniques”. Journal of Innovative Image Processing 4 (4): 316-27. https://doi.org/10.36548/jiip.2022.4.008.

Keywords

  • Multiclass classification
  • support vector machine
  • principal component analysis
  • viola jones algorithm

Abstract

Face recognition of persons has received so much attention in the recent years due to its many applications in different fields such as security applications, video surveillance, biometric systems, identifying the criminals etc. This paper develops a system that can recognize the human face in the input image after it has been detected. The system is trained with set of faces and non faces, and when the input picture is given, the face is detected using Viola Jones Algorithm. In face recognition, the features are extracted from the training dataset using Principal Component Analysis (PCA) and then the system is trained to recognize the face using Support Vector Machine (SVM) classification. When the input image is given for face recognition, features are extracted from the input picture using PCA and multiclass classification is done by SVM.

References

Liton Chandra Paul, Abdulla Al Suman. “Face Recognition using Principal Component Analysis Method,” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 1, no.09 (2012), 135-139.

Venkata Narayana, K., Manoj, V.V.R., Swathi, K. “Enhanced Face Recognition based on PCA and SVM.” International Journal of Computer Applications, 7, no.02 (2015): 40-42.

Hongjun Jia & Aleix, M, Martinez. “Support Vector Machines in Face Recognition with Occlusions, Available”: http://www2.ece.ohio-state.edu/~aleix/CVPR09.pdf.[Accessed: 07- Oct- 2022].

Jonathon Phillips P. “Support Vector Machines Applied to Face Recognition,” National Institute of Standards and Technology, https://nvlpubs.nist.gov/nistpubs/Legacy/IR/nistir6241.pdf.[Accessed: 17- Aug- 2022].

Jindal Vikas Kumar, N.(2013). Enhanced Face Recognition Algorithm using PCA with Artificial Neural Networks. International Journal of Advanced Research in Computer Science and Software Engineering, 3. no.06(2013)

Monali Chaudhari, Shanta sondur, Gauresh Vanjare.”A review on Face Detection and study of Viola Jones method." International Journal of Computer Trends and Technology (IJCTT), 25. No.01((2015):54-61.

Vijayalakshmi, S., Karpagam, GR.”Authentication as a service in cloud from a fuzzy perspective.” International Journal of Enterprise Network Management,” 9. no.03(2018):352-362,

Mehul, K., Dabhi, Bhavna, K., Pancholi.”Face Detection System Based on Viola - Jones Algorithm.” International Journal of Science and Research (IJSR), 5. no.04(2016):62-64.

Vinoth Kumar, B., Sabareeswaran, S., Madumitha, G. “A Decennary Survey on Artificial Intelligence Methods for Image Segmentation.”Advanced Engineering Optimization Through Intelligent Techniques, (2020). 291-311.

Vinoth Kumar,B., Abirami,S., Bharathi Lakshmi,RJ., Lohitha,R., Udhaya,RB. “Detection and Content Retrieval of Object in an Image using YOLO.” International Conference on Frontiers in Materials and Smart System Technologies. (2019).