Orientation Field Estimation for Latent Fingerprints with Prior Knowledge of Fingerprint Pattern

2021 ◽  
Author(s):  
Yongjie Duan ◽  
Jianjiang Feng ◽  
Jiwen Lu ◽  
Jie Zhou
Keyword(s):  
Prior Knowledge ◽  
Orientation Field ◽  
Latent Fingerprints ◽  
Fingerprint Pattern ◽  
Field Estimation

scholarly journals Fingerprint minutiae filtering based on multiscale directional information

2007 ◽  
Vol 20 (2) ◽  
pp. 233-244
Author(s):  
Brankica Popovic ◽  
Ljiljana Maskovic
Keyword(s):  
Recognition Rate ◽  
Automatic Identification ◽  
Orientation Field ◽  
Directional Information ◽  
Identification Methods ◽  
Reliable Identification ◽  
Extraction Algorithm ◽  
Fingerprint Pattern ◽  
Fingerprint Minutiae ◽  
Automatic Systems

Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.

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