Eye Localization under Different Lighting Ambiance using ANFIS?

Neurocomputing is bountifully used in eye detection, which is a vital feature in face recognition. The challenge that influences eye detection is different lighting environment. A unique schema is proposed for achieving proficient eye detection under different lighting ambiance, with initially using normalization method for sharpening edges using adaptive smoothing method followed by which Adaptive Neuro Fuzzy Inference System is employed in eye detection under varying lighting condition, which results in great accuracy in classification and organize the discussion towards proficient eye detection with results on Real-DB, CMU-PIE and LFW face databases.