The invention provides a quality
estimation method of exit-entry digital portrait photos. The quality
estimation method comprises the following steps: the format size and
file size detection of each digital portrait photo,
face detection, eye positioning, face horizontal centering detection, the
exposure detection of global luminance deviation and partial luminance deviation, the clearness detection of contrast evaluation and
ambiguity evaluation and the
color detection and the background detection for detecting the
skin naturalness in an
Lab color space and judging whether colors in an image face area are qualified or not. The quality
estimation method has the advantages that a quality estimation module of the digital portrait photos, specific quality detection items, detection flows, estimation indexes and
estimation methods are established, which is different from the prior quality estimation method of the digital portrait photos relying on subjective estimation. The invention judges the quality of each digital portrait photo without relying on a standard image, obtains the judging result in accordance with the
subjective feeling of people and the requirements of a face
recognition system, thereby favorably satisfying the
business requirements for managing the exit-entry digital portrait photos.