Face recognition using eyes, nostrils and mouth features

Author

Paul, Sushil Kumar ; Uddin, Mohammad Shorif ; Bouakaz, Saida

Author_Institution

Dept. of Comput. Sci. & Eng., Jahangirnagar Univ., Dhaka, Bangladesh

fYear

2014

fDate

8-10 March 2014

Firstpage

117

Lastpage

120

Abstract

This paper describes a face recognition algorithm that extracts the eyes, nostrils and mouth features from cumulative distribution function (CDF) by applying Otsu thresholding. The algorithm, which is inspired by the probability of white pixels of binary facial image, has been tested using the BioID frontal face large database in different illuminations, expressions and lighting conditions. Illumination and lighting variations are addressed using a selective equalization technique. The experimental results have confirmed an average recognition rate of 93.55%.

Keywords

face recognition; feature extraction; image resolution; image segmentation; statistical distributions; BioID frontal face; CDF; Otsu thresholding; binary facial image white pixel probability; cumulative distribution function; expression conditions; eye feature extraction; face recognition algorithm; illumination conditions; lighting conditions; mouth feature extraction; nostril feature extraction; selective equalization technique; Databases; Face; Face recognition; Facial features; Feature extraction; Lighting; Mouth; Cumulative distribution function; Otsu thresolding; face recognition; facial features; probability of white pixels;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (ICCIT), 2013 16th International Conference on

Conference_Location

Khulna

Type

conf

DOI

10.1109/ICCITechn.2014.6997378

Filename

6997378