Banknote Image Retrieval Using Rotated QuaternionWavelet Filters

DOI

10.2991/ijcis.2011.4.2.14How to use a DOI?

Keywords

discrete wavelet transform (DWT), complex wavelet transform (CWT), quaternion wavelet transform (QWT), rotated quaternion wavelet filters (RQWF), feature extraction, support vector machine (SVM).

Abstract

A new method of banknote image retrieval is proposed by using new set of rotated quaternion wavelet filters (RQWF) and standard quaternion wavelet transform (QWT) jointly. The robust and rotationally invariant features are extracted from QWT and RQWF decomposed sub-bands of banknote image. Three different sets of databases are used to demonstrate the effectiveness of the proposed method. The experimental results show that the proposed method improves the recognition rate from 78.79% to 91.22% on (16000 images) database D1, form 74.08% to 94.62% on (20000 images) database D2 and from 76.44% to 88.78% on (10000 images) database D3. The proposed method can also obtain a reasonable level of computational complexity.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Shan Gai
AU  - Jiafeng Liu
AU  - Xianglong Tang
PY  - 2011
DA  - 2011/04/01
TI  - Banknote Image Retrieval Using Rotated QuaternionWavelet Filters
JO  - International Journal of Computational Intelligence Systems
SP  - 268
EP  - 276
VL  - 4
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.2.14
DO  - 10.2991/ijcis.2011.4.2.14
ID  - Gai2011
ER  -