A fingerprint verification algorithm using tessellated invariant moment features

Authors:
Ju Cheng Yang;Dong Sun Park
Affiliations:
Division of Electronics & Information Engineering, Chonbuk National University, Jeonju, Jeonbuk 561-756, Republic of Korea;Division of Electronics & Information Engineering, Chonbuk National University, Jeonju, Jeonbuk 561-756, Republic of Korea
Venue:
Neurocomputing
Year:
2008

Citing 18
Cited 6

Fingerprint Image Enhancement: Algorithm and Performance Evaluation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing

Digital Image Processing
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
Localization of corresponding points in fingerprints by complex filtering

Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
How effective are landmarks and their geometry for face recognition?

Computer Vision and Image Understanding
Human Carrying Status in Visual Surveillance

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Fingerprint Retrieval by Complex Filter Responses

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Fingerprint matching from minutiae texture maps

Pattern Recognition
Fingerprint enhancement using STFT analysis

Pattern Recognition
A hybrid wavelet-based fingerprint matcher

Pattern Recognition
Fingerprint reference-point detection

EURASIP Journal on Applied Signal Processing
Supervised tensor learning

Knowledge and Information Systems
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
An adaptive hybrid energy-based fingerprint matching technique

Image and Vision Computing
Applying learning vector quantization neural network for fingerprint matching

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Generalizing discriminant analysis using the generalized singular value decomposition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Filterbank-based fingerprint matching

IEEE Transactions on Image Processing

Fingerprint verification using statistical descriptors

Digital Signal Processing
Fingerprint verification using rotation invariant feature codes

ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Letters: A hierarchical k-means clustering based fingerprint quality classification

Neurocomputing
Random local region descriptor (RLRD): A new method for fixed-length feature representation of fingerprint image and its application to template protection

Future Generation Computer Systems
Singular points detection based on multi-resolution in fingerprint images

Neurocomputing
A Filter Bank Based Approach for Rotation Invariant Fingerprint Recognition

Journal of Signal Processing Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, an enhanced image-based fingerprint verification algorithm is proposed to improve matching accuracy and processing speed by overcoming the demerits of previous methods over poor-quality images. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point, and then aligns the image according to the position and orientation of reference point to avoid time-consuming alignment. A set of fixed-length moment features, invariant to the affine transform, is extracted from tessellated cells on a region of interest (ROI) centered at the reference point. The similarity between an input and a template in a database is evaluated by eigenvalue-weighted cosine (EWC) distance. Experimental results show that the proposed method has better performance in accuracy and speed comparing with other renowned methods.