On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Accuracy of Zernike Moments for Image Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image analysis by moments
Predicting Source Code Changes by Mining Change History
IEEE Transactions on Software Engineering
A Comparative Study of Three Moment-Based Shape Descriptors
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
A chaincode based scheme for fingerprint feature extraction
Pattern Recognition Letters
Palmprint Identification using Boosting Local Binary Pattern
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Using Bayesian Belief Networks to Predict Change Propagation in Software Systems
ICPC '07 Proceedings of the 15th IEEE International Conference on Program Comprehension
Palmprint verification based on principal lines
Pattern Recognition
Advanced Pattern Recognition Technologies with Applications to Biometrics
Advanced Pattern Recognition Technologies with Applications to Biometrics
Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
A feature extraction method for use with bimodal biometrics
Pattern Recognition
Fingerprint Verification Using the Texture of Fingerprint Image
ICMV '09 Proceedings of the 2009 Second International Conference on Machine Vision
Hi-index | 0.00 |
Orthogonal moments, namely Legendre and pseudo-Zernike moments, are popular region-based shape descriptors which can be used to represent regions with invariant feature vectors. In this paper we propose that the accuracy of biometric verification can be improved by selecting a shape descriptor after exploring its suitability for the given shape or biometric. Fingerprint and palmprint biometrics are used for the experiment. It was observed that the inherent nature of the Legendre moments makes it more suitable for palmprint images and that of the Zernike moments makes it more suitable for the fingerprint images.