Human Face Detection and Segmentation of Facial Feature Region

Tania Akter Setu; Dr. Mijanur Rahman

Human Face Detection and Segmentation of Facial Feature Region

Tania Akter Setu * §

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Dr. Mijanur Rahman

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Jatia Kabi Kazi Nazrul Islam University

Human Face Detection and Segmentation of Facial Feature Region

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Abstract

Human face, facial feature detection and Segmentation have attracted a lot of attention because of their wide applications. In computer-human interaction, face recognition, video surveillance, security system and so many application use automatic face detection. This paper is about a study of detecting human faces within images and segmenting the face into numbered regions which are the face-, mouth-, eyes-and nose regions respectively. For face detection we have used the Viola-Jones object detection framework. Sometime the VJOD make a false frame of object detection. Here trying to detect the problem of identification and improve the detection quality by changing the threshold value. It detect the frontal face of human which is 2D. From detected face image we separate the extracted part of face in a single image and Segment nose, eyes, lip and hole face portion by Discontinuous based Image Segmentation. The development and experiments demonstration of this research is done on MATLAB 2013. The learning behavior of the algorithm was tested on different face of human.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Tania Akter Setu, Dr. Mijanur Rahman. 2016. "Human Face Detection and Segmentation of Facial Feature Region". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 16 (GJCST Volume 16 Issue G1).

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GJCST Volume 16 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-G Classification H.5.2

Submission ReceivedDecember 6, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

August 19, 2016

Language

English

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Article Matrices

Total Score: 147

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology

Authors: Tania Akter Setu, Dr. Mijanur Rahman (PhD/Dr. count: 1)

View Count (all-time): 351

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Publish Date: 2016 01, Fri

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Total Views: 3K

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