20, April 2025

A Comprehensive Review on Face Detection and Feature Extraction Techniques

VOLUME-11; ISSUE-4; APR-2025

Author(s): Dr. Ishvari Shaishavkumar Patel

Authors Affiliations:

Assistant Professor, Sutex Bank College of Computer Applications and Science, Amroli, (Affiliated with VNSGU) Surat

DOIs:10.2015/IJIRMF/202504044     |     Paper ID: IJIRMF202504044


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This paper presents a comprehensive review of face detection and feature extraction methods, focusing on various techniques employed in the field. The review discusses the most widely used techniques, such as skin color-based methods, histogram analysis, Haar-like features, and machine learning algorithms. Furthermore, we provide a detailed comparison of different approaches based on their performance, accuracy, and real-time application suitability. The paper also outlines future research directions for advancing the effectiveness of face detection systems in diverse applications, such as security, healthcare, and human-computer interaction.

face detection, feature extraction

Dr. Ishvari Shaishavkumar Patel(2025); A Comprehensive Review on Face Detection and Feature Extraction Techniques, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-4, Pp.319-321.          Available on –   https://www.ijirmf.com/

  1. Jagdish Lal Raheja, RadheyShyam, Jatin Gupta, Umesh Kumar, P Bhanu Prasad. “Facial Gesture Identification using Lip Contours.” 2010 Second International Conference on Machine Learning and Computing, 2010.
  2.  Yingli Tian, Takeo Kanade, Jeffrey F. Cohn. “Robust Lip Tracking by Combining Shape, Color and Motion.” 2000.
  3. M. Pantic and L.J.M. Rothkrantz. “Facial Gesture Recognition in Face Image Sequences: A Study on Facial Gestures Typical for Speech Articulation.” Delft University of Technology ITS / Mediamatics. Netherlands.
  4. Dr. Nikolaos Bourbakis. “A Face Detection and Facial Expression Recognition Method.” ATRC Wright State University AIIS.
  5. Piotr Dalka, Andrzej Czyzewski. “Lip Movement and Gesture Recognition for a Multimodal Human-Computer Interface.” Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 451 – 455.
  6. Wei-Kai Liao and Isaac Cohen. “Classifying Facial Gestures in Presence of Head Motion.” Institute for Robotics and Intelligent Systems Integrated Media Systems Center University of Southern California Los Angeles, CA 90089-0273, USA.
  7. S.P. Khandait, Dr. R.C. Thool, P.D. Khandait. “Automatic Facial Feature Extraction and Expression Recognition Based on Neural Network.” International Journal of Advanced Computer Science and Applications, Vol. 2, No.1, January 2011.
  8. Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn. “Recognizing Facial Actions by Combining Geometric Features and Regional Appearance Patterns.” Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, January 2001.
  9. Thanh Nguyen Duc, Tan Nguyen Huu, Luy Nguyen Tan. “Facial Expression Recognition Using AAM Algorithm.” Division of Automatic Control, Ho Chi Minh University of Technology, Vietnam.
  10. Siew Wen Chin, KahPhooi Seng, Li-Minn Ang, King Hann Lim. “New Lips Detection and Tracking System.” International MultiConference of Engineers and Computer Scientists 2009, Vol-I.
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