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Eye detection is an important step for face recognition and verification because it provides a reference point to normalize not only location but also the flat 2d orientation of face relative to the image border. The base technique that is referred to shows how Wavelet Transformation works hand in hand with Neural Networks. In this paper a proposition of a system that regiment the wavelet coefficient...
An illumination normalization technique for face recognition by the fusion of Self Quotient Image (SQI) and LogAbout has been proposed. The proposed method is evaluated by using internal face database and Yale face database. The proposed method had shown promising result from the Equal Error Rate (EER) point of view. Our method reported nearly 10% of improvements on average compared to SQI and LogAbout.
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