Quality estimation method of exit-entry digital portrait photos

Abstract

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.

Description

technical field The invention relates to the field of computer software applications, in particular to a method for evaluating the quality of entry-exit digital portrait photos. Background technique With the development of informatization, multimedia and communication technologies, more and more digital portrait photos have begun to appear in multiple business areas of entry-exit management. Face biometric authentication has become one of the important ways of identity confirmation. The application of digital portrait photo quality evaluation has become an indispensable link in the management of entry-exit photos. On the one hand, in the certificate making process, low-quality digital portrait photos will affect the appearance of the certificate, resulting in a large difference between the certificate photo and the real face of the certificate holder, making it more difficult to verify the certificate; on the other hand, images that do not meet the standards It may cause th...

AI Technical Summary

Problems solved by technology

Therefore, the quality assessment method of entry-exit digital portrait photos that can well meet the business requirements of entry-exit digital portrait management has not yet appeared.

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