Graphical representation of fingerprint images
Integrated image and graphics technologies
Definition and extraction of stable points from fingerprint images
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design and implementation of Log-Gabor filter in fingerprint image enhancement
Pattern Recognition Letters
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
A Modified Singular Point Detection Algorithm
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Active Fingerprint Ridge Orientation Models
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy
IEEE Transactions on Image Processing
Robust orientation field estimation and extrapolation using semilocal line sensors
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Minutiae and modified Biocode fusion for fingerprint-based key generation
Journal of Network and Computer Applications
Computationally efficient fingerprint algorithm for automatic recognition
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Fusion of multiple candidate orientations in fingerprints
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Enhancement of low quality fingerprints based on anisotropic filtering
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A novel hybrid crypto-biometric authentication scheme for ATM based banking applications
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A variational formulation for fingerprint orientation modeling
Pattern Recognition
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A robust orientation estimation algorithm for low quality fingerprints
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Singular points analysis in fingerprints based on topological structure and orientation field
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
On the influence of fingerprint area in partial fingerprint recognition
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Consistency analysis on orientation features for fast and accurate palmprint identification
Information Sciences: an International Journal
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As a global feature of fingerprints, the orientation field is very important for automatic fingerprint recognition. Many algorithms have been proposed for orientation field estimation, but their results are unsatisfactory, especially for poor quality fingerprint images. In this paper, a model-based method for the computation of orientation field is proposed. First a combination model is established for the representation of the orientation field by considering its smoothness except for several singular points, in which a polynomial model is used to describe the orientation field globally and a point-charge model is taken to improve the accuracy locally at each singular point. When the coarse field is computed by using the gradient-based algorithm, a further result can be gained by using the model for a weighted approximation. Due to the global approximation, this model-based orientation field estimation algorithm has a robust performance on different fingerprint images. A further experiment shows that the performance of a whole fingerprint recognition system can be improved by applying this algorithm instead of previous orientation estimation methods.