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Latent Fingerprint Matching via Dense Minutia Descriptor
Latent fingerprint matching is a daunting task, primarily due to the poor quality of latent fingerprints.
Direct Regression of Distortion Field from a Single Fingerprint Image
However, existing rectification methods are based on principal component representation of distortion fields, which is not accurate and are very sensitive to finger pose.
Regression of Dense Distortion Field from a Single Fingerprint Image
However, existing rectification methods are based on principal component representation of distortion fields, which is not accurate and are very sensitive to finger pose.
Fingerprint Matching with Localized Deep Representation
The matching scores produced by LDRF also exhibit intuitive statistical characteristics, which led us to propose a matching score normalization technique to mitigate the uncertainty in the cases of very small overlapping area.
