Use of wavelet-based basis functions to extract rotation invariant features for automatic image recognition

Authors:
Santiago Akle;Maria-Elena Algorri;Ante Salcedo
Affiliations:
Department of Digital Systems, Instituto Tecnológico Autónomo de México, México D.F.;Department of Digital Systems, Instituto Tecnológico Autónomo de México, México D.F.;Department of Digital Systems, Instituto Tecnológico Autónomo de México, México D.F.
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2008

Citing 11
Cited 5

A subspace projection approach to feature extraction: the two-dimensional Gabor transform for character recognition

Neural Networks
Rotation and scale invariant wavelet feature for content-based texture image retrieval

Journal of the American Society for Information Science and Technology
A survey on wavelet applications in data mining

ACM SIGKDD Explorations Newsletter
Enhancement of wavelet-based medical image retrieval through feature evaluation using an information gain measure

Proceedings of the 2003 ACM symposium on Applied computing
A multiscale framework for blind separation of linearly mixed signals

The Journal of Machine Learning Research
A Wavelet Packet representation of audio signals for music genre classification using different ensemble and feature selection techniques

MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Integrated Wavelet and Fourier-Mellin invariant feature in fingerprint verification system

WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Adaptive, unsupervised stream mining

The VLDB Journal — The International Journal on Very Large Data Bases
A wavelet based multiresolution algorithm for rotation invariant feature extraction

Pattern Recognition Letters
A novel document retrieval method using the discrete wavelet transform

ACM Transactions on Information Systems (TOIS)
Explicit invariance of Cartesian Zernike moments

Pattern Recognition Letters

A general approach to off-line signature verification

WSEAS Transactions on Computers
Lung area extraction from X-ray CT images for computer-aided diagnosis of pulmonary nodules by using active contour model

WSEAS Transactions on Information Science and Applications
Classification approaches in off-line handwritten signature verification

WSEAS Transactions on Mathematics
A new recognition method for natural images

WSEAS Transactions on Computers
Analysis of intra-person variability of features for off-line signature verification

WSEAS Transactions on Computers

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we explore the use of orthogonal functions as generators of representative, compact descriptors of image content. In Image Analysis and Pattern Recognition such descriptors are referred to as image features, and there are some useful properties they should possess such as rotation invariance and the capacity to identify different instances of one class of images. We exemplify our algorithmic methodology using the family of Daubechies wavelets, since they form an orthogonal function set. We benchmark the quality of the image features generated by doing a comparative OCR experiment with three different sets of image features. Our algorithm can use a wide variety of orthogonal functions to generate rotation invariant features, thus providing the flexibility to identify sets of image features that are best suited for the recognition of different classes of images.