Face Identification Based on Contrast Limited Adaptive Histogram

Equalization (CLAHE).

Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gualberto Aguilar-Torres,

Gabriel Sanchez-Perez and Hector Perez-Meana

Mechanical and Electrical Engineering School of National Polytechnic

Institute of Mexico. Mexico, Mexico D.F.

Introduction

This paper proposes a face identification method based on Contrast Limited Adaptive Histogram Equalization (CLAHE) robust to facial expressions, occlusion (නිරෝධනය) and especially to illumination (ආලෝකය) changes.

Approach

This is based on Eigenphases algorithm for feature extraction, the Principal Components Analysis (PCA) and the Phase Spectrum was used as feature extraction stage, and Support Vector Machine (SVM) as a classifier.

Method

• Capture: - Capture the pattern (data acquisition of this method consists in taking a picture).
• Feature Extraction: - Extract the feature of captured pattern (Pattern is converted into vector feature).
• Classification: - Generate template based on vector feature (SVM).

Strengthes

• The results were obtained using a database that includes face images of 120 subjects (60 males and 60 females) with illumination changes, facial expressions and partial occlusion. The proposed method provides results with a correct recognition up to 97%.
•  Result obtained are greater than 90% and in the best cases obtained a 97.36% which is acceptable for a face recognition system.

Advantages

• The proposed system shown to be robust to changes in the database used, which are illumination changes and partial occlusion by using sunglasses.

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http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.217.8286&rep=rep1&type=pdf