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Hybrid Approach for Mouth Detection

Shilpa Sonawane*, P. Malathi **

* Department of Electronics and Telecommunication Engineering, JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, India.

** Department of Electronics and Telecommunication Engineering, D. Y. Patil College of Engineering, Pune, Maharashtra, India.

Periodicity:April - June'2021
DOI : https://doi.org/10.26634/jip.8.2.18221

Abstract

Real time lip localization is a significant research topic in the computer vision area as it has a greater number of applications such as biomedical image analysis, human computer interfaces, automatic speech recognition, speaker detection and lip-reading system. The most popular face detection algorithm is Viola and Jones based on statistical methods. This paper explains a technique used to localize lips from the face image. In first scenario, mouth detection is done using Viola-Jones algorithm. In second scenario, mouth region is detected using hybrid method, which is a combination of Viola-Jones algorithm and geometric projection method.

Keywords

Viola-Jones algorithm ,AdaBoost, lip localization, geometric projection.

How to Cite this Article?

Sonawane, S., and Malathi, P. (2021). Hybrid Approach for Mouth Detection. i-manager's Journal on Image Processing, 8(2), 22-26. https://doi.org/10.26634/jip.8.2.18221

References

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[8]. Viola, P., & Jones, M. (2001, December). Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 (Vol. 1). IEEE. https://doi.org/10.1109/CVPR. 2001.990517

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