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FACE RECOGNITION USING MAP DISCRIMINANT ON YCBCR COLOR SPACE

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This paper presents face recognition usingmaximum a posteriori (MAP) discriminanton YCbCr color space.
The YCbCr color space is considered in order to coverthe skin information of face image on the recognitionprocess.
The proposed method is employed to improve the recognition rate and equal error rate (EER) of thegray scale
based face recognition. In this case, the face features vector consisting of smallpart of dominantfrequency
elementswhichis extracted by non-blocking DCTis implemented as dimensional reduction of theraw face images.
The matching processbetween the query face features and thetrained face featuresisperformedusingmaximum a
posteriori (MAP) discriminant.From the experimental results on data from fourface databases containing 2268 images
with196 classes show that the facerecognition YCbCr color spaceprovide better recognition rate andlesserEER
thanthoseof gray scale basedface recognition whichimprovethefirstrankof grayscale based methodresult by about 4%.
However, it requires three times more computationtimethan that of grayscale based method

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Informasi Detail

Judul Seri

DISCRIMINANT ON YCBCR COLOR SPACE

No. Panggil

001.4.Pas.f

Penerbit

Fakultas Teknik Unram : Engineering Faculty, Mataram University.., 2012

Deskripsi Fisik

^a-

Bahasa

English

ISBN/ISSN

978-979-19888-1-0

Klasifikasi

001.4.Pas.f

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

^a1 ^bJilid 1

Subjek

FACE RECOGNITION USINGMAP DISCRIMINANTON YCBCR
- posteriori (MAP) discriminant
- Face Features Extraction
- Experiment andResults
- The Proposed algorithm
- Conclusions
- Thesecond experiment was performed

Info Detail Spesifik

^a-

Pernyataan Tanggungjawab

^aI Gede Pasek Suta Wijaya, ST., MT., D.Eng.

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