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In this paper we develop FaceQvec, a software component for estimating theconformity of facial images with each of the points contemplated in the ISO/IEC19794-5, a quality standard that defines general quality guidelines for faceimages that would make them acceptable or unacceptable for use in officialdocuments such as passports or ID cards. This type of tool for qualityassessment can help to improve the accuracy of face recognition, as well as toidentify which factors are affecting the quality of a given face image and totake actions to eliminate or reduce those factors, e.g., with postprocessingtechniques or re-acquisition of the image. FaceQvec consists of the automationof 25 individual tests related to different points contemplated in theaforementioned standard, as well as other characteristics of the images thathave been considered to be related to facial quality. We first include theresults of the quality tests evaluated on a development dataset captured underrealistic conditions. We used those results to adjust the decision threshold ofeach test. Then we checked again their accuracy on a evaluation database thatcontains new face images not seen during development. The evaluation resultsdemonstrate the accuracy of the individual tests for checking compliance withISO/IEC 19794-5. FaceQvec is available online(https://github.com/uam-biometrics/FaceQvec).

FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance