Image recognition algorithm undecimated wavelet transform coupling moment

DOI

10.2991/ameii-16.2016.263How to use a DOI?

Keywords

Undecimated Wavelet Transform, Zernike Moment, Copy And Paste, Image Forgery Detection, Robustness

Abstract

In order to solve the problem that robustness in copying and pasting forgery detection algorithm is poor and detection accuracy is insufficient, this paper puts forward to image forgery detection algorithm of coupling Zernike Moment (Zernike) by Undecimated Wavelet Transform (UWT). Firstly, it uses Undecimated Wavelet Transform to break the input image up into approximation coefficient LL and specific coefficient HH and get similarity and difference among blocks; then it divides overlapping block and calculate space between image subblock, makes order and classification according to similarity LL and difference HH and introduces Zernike Moment, builds distance matrix for image feature matching and image forgery detection. The experiment indicates that the mentioned algorithm has good translation invariance and amplitude rotation invariance and it has good anti-post processing performance, high accurate measurement, low omission factor and false positive rate.

Copyright

© 2016, 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/).

Download article (PDF)

TY  - CONF
AU  - Hongli Liu
AU  - LiYing Ye
PY  - 2016/04
DA  - 2016/04
TI  - Image recognition algorithm undecimated wavelet transform coupling moment
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.263
DO  - 10.2991/ameii-16.2016.263
ID  - Liu2016/04
ER  -