A Hybrid Face Detection System using combination of Appearance-based and Feature-based method

  • Unique Paper ID: 143650
  • PageNo: 265-269
  • Abstract:
  • Human face detection is preliminary required step of face recognition systems as well as a very important task in many applications, such as security access control systems, video surveillance, and human computer interface and image database management. This project intends to combine Viola and Jones face detection method with a color-based method to propose an improved face detection method. Experimental results show that our method efficiently decreased false positive rate and subsequently increased accuracy of the face detection system especially in complex background images. Also our proposed method considerably increased face detection speed.
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Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{143650,
        author = {Zareen Tamboli and Rohini Shivaji Kamble and Shital Krishna Lingnure and Dhanashri Sitaram Jadhav},
        title = {A Hybrid Face Detection System using combination of Appearance-based and Feature-based method},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {12},
        pages = {265-269},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143650},
        abstract = {Human face detection is preliminary required step of face recognition systems as well as a very important task in many applications, such as security access control systems, video surveillance, and human computer interface and image database management. This project intends to combine Viola and Jones face detection method with a color-based method to propose an improved face detection method. Experimental results show that our method efficiently decreased false positive rate and subsequently increased accuracy of the face detection system especially in complex background images. Also our proposed method considerably increased face detection speed.},
        keywords = {Viola Jones, Classifier, Face detection},
        month = {},
        }

Cite This Article

Tamboli, Z., & Kamble, R. S., & Lingnure, S. K., & Jadhav, D. S. (). A Hybrid Face Detection System using combination of Appearance-based and Feature-based method. International Journal of Innovative Research in Technology (IJIRT), 2(12), 265–269.

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