To tackle the problems of the illumination interference and difficulty in capturing accurate eye center points during the human eye location by the traditional projection method, this study proposes a human eye location algorithm based on multi-scale self-quotient images with an improved integral projection method. Firstly, multi-scale self-quotient images are used to eliminate the illumination effect on the face image. Secondly, depending on the gray distribution characteristics of eyes in the horizontal direction, the integral projection method is improved with two row gradient operators to intensify eye region features and preliminarily locate the eye region. Thirdly, the eye filter image is generated after the eye region is filtered with the Sobel operator, whose vertical integral projection curve is then subjected to fitting by the Gaussian function. According to the fitting results, the left and right eye windows are segmented and, finally, their dimensions are calculated to determine the respective center point, namely the human eye center point. The tests on the YaleB face database and JAFFE face database show that the proposed method has strong adaptability to complex illumination, face edge, and face expression and can accurately locate human eye center points.