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Research Paper | Computer Science & Engineering | India | Volume 10 Issue 3, March 2021
Face Detection Using Haar Cascade Classifiers
Bhavana R. Maale | Dr. Suvarna Nandyal [5]
Abstract: The main building block on which all automated systems concerned with human faces are designed is face detection. In many person-system user interfaces, precise face identification is important; the real implication is the precise approach to face identification. This paper proposes, a 3-stage face detection system architecture that is based on the Haar Cascade Classifiers. Pictures of classical Indian kathak and kuchipudi dances are included. In the proposed method, 94 percent of the faces were correctly identified using 1000 images for research.
Keywords: Haar Cascade Classifier, 3-stage face detection, Haar-like features, Adaboost algorithm
Edition: Volume 10 Issue 3, March 2021,
Pages: 1179 - 1182
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Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 7, July 2022
Pages: 1023 - 1029A Survey and High-Level Design on Human Activity Recognition
Abhishikat Kumar Soni | Dhruv Agrawal | Md. Ahmed Ali | Dr. B. G. Prasad [4]
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Analysis Study Research Paper, Computer Science & Engineering, Canada, Volume 12 Issue 10, October 2023
Pages: 2054 - 2058An Evaluation of a Haar Cascade Classifiers using Multi-Resolution Images and Multi-Threading Resources on a Raspberry Pi
Qussay Salih