Neural Web Based Human Recognition

Dr. M. Prabakaran

Neural Web Based Human Recognition

Dr. M. Prabakaran * §

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§ Vinayaka Missions University

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Abstract

Face detection is one of the challenging problems in the image processing. A novel face detection system is presented in this paper. The approach relies on skin-based color features xtracted from two dimensional Discrete Cosine Transfer (DCT) and neural networks, which can be used to detect faces by using skin color from DCT coefficient of Cb and Cr feature vectors. This system contains the skin color which is the main feature of faces for detection, and then the skin face candidate is examined by using the neural networks, which learn from the feature of faces to classify whether the original image includes a face or not. The processing is based on normalization and Discrete Cosin Transfer. Finally the classification based on neural networks approach. The experiment results on upright frontal color face images from the internet show an excellent detection rate.

References

11 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

Dr. M. Prabakaran. 1970. "Neural Web Based Human Recognition". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 7).

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GJCST Volume 11 Issue 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST Classification I.4.6

I.5.1

Submission ReceivedFebruary 27, 2011
Peer Review Double Blind
Handling Editor
Accepted March 20, 2011
Published April 3, 2011

Version of record

v1.2

Issue date

May 6, 2011

Language

English

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Article Matrices

Total Score: 146

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. M. Prabakaran Dr. T. Senthil Kumar (PhD/Dr. count: 1)

View Count (all-time): 246

Total Views (Real + Logic): 6609

Total Downloads (simulated): 349

Publish Date: 2011 04, Sun

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Total Views: 6.6K

Total Downloads: 349

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