Home / Current Issue / Paper 1702391
Detection of Faces from Images using Haar Cascade Classifier
Subject area: Science,Engineering and Technology · Area of research: Machine Learning, Image Processing
Abstract
Nowadays, the increasing volume of images is absolutely demanded in most of digital image processing and pattern recognition. Moreover, face detection from images has become essential as it can be applied in various areas such as surveillance system, biometrics,gender classification, and so on.In this paper, Haar Cascade Classifier of Open Source Computer Vision Library (OpenCV)is utilized in detection of faces. In addition, Apache Hadoop, a distributed processing platform is applied to solve the computation time burden of face detection from large-scale images. According to the experimentation, the face detection with haar cascade classifier which is experimented on Apache Hadoop platform can offer satisfactory execution time results.
Keywords
Apache Hadoop, Face Detection, Haar Cascade Classifier, OpenCV
References
[1] B. K. Gunturk, et al., -Eigenface-based super- resolution for face recognition,| in Proc. International Conference on Image Processing, IEEE, 2002.
[2] B. Mohammed Amin, S. Mahmoudi, and B. Ghalem, -PCA as dimensionality reduction for large-scale image retrieval systems,| International Journal of Ambient Computing and Intelligence (IJACI), vol. 8, pp. 45-58, 2017.
[3] G. Ajit P, S. R. Khot, -Facial expression recognition using principal component analysis,| International Journal of Soft Computing and Engineering (IJSCE), vol. 3, pp. 2231-2307, 2013.
[4] Ng. S. C, -Principal component analysis to reduce dimension on digital image,| in Proc. Procedia computer science 111, 2017, pp. 113-119.
[5] S. Vinod, S. Bhupendra, Singh, -Face detection by haar cascade classifier with simple and complex backgrounds images using opencv implementation,| International Journal of Advanced Technology in Engineering and Science, vol. 1, pp.33-38, 2013.
[6] W. Phillip Ian, F. John, -Facial feature detection using Haar classifiers,| Journal of Computing Sciences in Colleges, vol. 21, pp. 127-133, 2006.
[7] Y. Ming-Hsuan, et al., -Detecting faces in images: A survey,| IEEE Transactions on pattern analysis and machine intelligence, vol. 24, pp. 34-58, 2002.
[8] Z. Wu, et al., -Parallel and distributed dimensionality reduction of hyperspectral data on cloud computing architectures,| IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 2270-2278, June 2016.
[9] Z. Zulhadi, S. Shahrel A. Suandi, -Face detection using combination of Neural Network and Adaboost,| in Proc. TENCON 2011-2011 IEEE Region 10 Conference, 2011.
[10] www.peopleimages.com
[11] www.image-net.org
[12] www.kaggle.com
How to cite this paper
@article{1702391,
author = {THIN THIN SWE},
title = {Detection of Faces from Images using Haar Cascade Classifier},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {12},
pages = {174-178},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702391.pdf},
abstract = {Nowadays, the increasing volume of images is absolutely demanded in most of digital image processing and pattern recognition. Moreover, face detection from images has become essential as it can be applied in various areas such as surveillance system, biometrics,gender classification, and so on.In this paper, Haar Cascade Classifier of Open Source Computer Vision Library (OpenCV)is utilized in detection of faces. In addition, Apache Hadoop, a distributed processing platform is applied to solve the computation time burden of face detection from large-scale images. According to the experimentation, the face detection with haar cascade classifier which is experimented on Apache Hadoop platform can offer satisfactory execution time results.},
keywords = {Apache Hadoop, Face Detection, Haar Cascade Classifier, OpenCV},
month = {June},
}