Abstract
High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images, which are expected to be helpful for improving the recognition accuracy. It is therefore demanded to investigate whether or not existing quality assessment methods are suitable for high resolution fingerprint images. This chapter compares some typical quality indexes by analyzing the correlation between them and their prediction ability on minutia-based and pore-based high resolution fingerprint recognition accuracy . Experimental results show that the indexes based on ridge orientation are more effective for high resolution fingerprint recognition systems.
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Liu, F., Zhao, Q., Zhang, D. (2020). Quality Assessment of High Resolution Fingerprints. In: Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail. Springer, Singapore. https://doi.org/10.1007/978-981-15-4128-5_11
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DOI: https://doi.org/10.1007/978-981-15-4128-5_11
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