Fig. 6From: paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classificationExtracted iris using our proposed approach based on Daugman’s algorithm. (a) converted gray scale image; (b) upper edge of the eye with gray thresh level of 0.9; (c) equivalent binary form of the detected upper eyelid; (d) data points of the upper eyelid; (e)-(f) upper eyelid as a result of employing parabolic function (2nd degree polynomial); (g) result of Daugman’s Integro-Differential operator iris detection; (h)-(n) eyelid detection results using our optimized Daugman’s algorithm; and (o) final results of detecting iris boundaries with superior or upper eyelid occlusionBack to article page