MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence.
Philipp TerhörstAndré BollerNaser DamerFlorian KirchbuchnerArjan KuijperPublished in: CoRR (2021)
Keyphrases
- quality assessment
- fingerprint identification
- fingerprint matching
- fingerprint verification
- fingerprint images
- minutiae extraction
- fingerprint recognition
- image and video processing
- image quality
- poor quality
- video quality
- data quality
- image enhancement
- singular points
- human visual system
- matching algorithm
- biometric recognition
- image quality assessment
- quality metrics
- low quality
- visual quality
- post treatment
- personal identification
- high quality
- palmprint
- video quality assessment