Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality
This paper addresses the challenge of assessing image quality in ID cards in remote verification systems by applying capture-related quality measures from the Open Face Image Quality (OFIQ) standard to ID card images. Our preprocessing pipeline includes corner detection, perspective normalization, and comprehensive foreground masking to ensure accurate and unbiased quality measure computation. We evaluate the effectiveness of these measures by analyzing their correlation with the performance of three presentation attack detection (PAD) algorithms across four diverse ID card datasets, where two datasets contain bona fide, i.e. pristine, images and two contain printed mock ID cards. Our res...
| Authors | Gregor Grote, Juan E. Tapia, Christian Rathgeb |
|---|---|
| Primary category | cs.CV |
| Published | 10 June 2026 |
| Last updated at source | 24 June 2026 |
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