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