Here you can find face image quality assessment algorithms implemented based on ISO/IEC TR 29794-5:2010. The implementation uses selected face image quality metrics from ISO/IEC TR 29794-5:2010 as features and then applies a random forest model for quality estimation.

The source code for this face image quality assessment algorithm can be retrieved from https://share.nbl.nislab.no/g03-03-sample-quality/face-image-quality.

For any academic publication resulting from the usage of this code, please cite the following paper:

‘P. Wasnik, K. Raja, R. Raghavendra, C. Busch: "Assessing Face Image Quality for Smartphone based Face Recognition System", in Proceedings of 5th International Workshop on Biometrics and Forensics (IWBF 2017), Coventry, UK, April 4-5, (2017)’.