1. An image processing method for obtaining a glassless image from a color frontal facial image bearing glasses, comprising the steps of: a) receiving an RGB color frontal facial image bearing glasses, wherein RGB are red-, green-, and blue-component contained in the received RGB color frontal facial image; b) extracting candidates of eye regions from the received RGB color frontal facial image; c) determining an exact eye region out of the candidates and normalizing the received RGB color frontal facial image in a predetermined size by centering on the determined eye region; d) extracting a glasses frame region by using color information contained in the received RGB color frontal facial image and edge information of a glasses frame; e) performing an RGB-HSI transformation on the normalized frontal facial image; f) generating H′, S′, and I′ glassless compensated images on the basis of the RGB-HSI transformed H-, S-, and I-component normalized frontal facial images, wherein the H-, S-, and I-component represent a hue, a saturation, and an intensity, respectively; g) obtaining R′, G′, and B′ compensated images by performing an HSI-RGB transformation on the H′, S′, and I′ glassless compensated images; and h) creating a glassless final color facial image on the basis of the R′, G′, and B′ compensated images, wherein the step f) further comprises the steps of: f1) obtaining H-, S-, and I-component reconstructed images by reconstructing the H-, S-, and I-component normalized frontal facial images; f2) obtaining H-, S-, and I-component first differential images between the H-, S-, and I-component normalized frontal facial images and the H-, S-, I-component reconstructed images; f3) obtaining H-, S-, and I-component second differential images by stretching H-, S-, and I-component first differential images on the basis of pixel information contained in the H-, S-, and I-component first differential images; f4) determining thresholds to classify the H-, S-, and I-component second differential images into occlusion regions, non-occlusion regions, and uncertain regions; f5) obtaining an I-component third differential image by including the extracted glasses frame region onto the uncertain region classified by the threshold within the I-component second differential image; f6) classifying the H- and S-component second differential images and the I-component third differential image on the basis of the thresholds to determine a weight to be applied on the respective classified images; and f7) obtaining the H′, S′, and I′ compensated images by applying the weight on each of the H- and S-component second differential images and the I-component third differential image.