Using Linear Symmetry Features as a Pre-processing Step for Fingerprint Images

Authors:
Kenneth Nilsson;Josef Bigün
Affiliations:
-;-
Venue:
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Year:
2001

Citing 3
Cited 2

Pattern recognition in images by symmetries and coordinate transformations

Computer Vision and Image Understanding
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
Filterbank-based fingerprint matching

IEEE Transactions on Image Processing

Local feature extraction in fingerprints by complex filtering

IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Fast fingerprint identification for large databases

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the idea to use linear symmetry properties as a feature based pre-processing step for fingerprint images. These features contain structural information of the local patterns. The linear symmetry can be computed by using separable spatial filtering and therefore has the potential to be a fast pre-processing step. Our results indicate that minutiae can be located as well as can be assigned a certain class type. The type of minutiae matching in combination with geometrical matching increases the matching efficiency as compared to the pure geometrical matching.