Statistical Feature Hashing Based on Wavelet Decomposition
Received date: 2018-01-31
Online published: 2018-03-31
A statistical feature hash based on wavelet decomposition is proposed for the improvement of the image copy detection efciency and the recognition performance. In the proposal, an approximate image is frstly extracted from a preprocessed image by the threeorder wavelet decomposition. Secondly, the statistical features of the row and column of the approximate image of the third wavelet decomposition are extracted, and the L2 distance of the row and column statistical features is used as the invariant feature. All the invariant features are combined and used as the fnal hash of the image. Experimental results show that the proposed hash algorithm has better performance and higher efciency in copy detection.
Key words： statistical feature; wavelet decomposition; L2 distance; copy detection
SHEN Qi, ZHAO Yan . Statistical Feature Hashing Based on Wavelet Decomposition[J]. Journal of Applied Sciences, 2018 , 36(2) : 247 -254 . DOI: 10.3969/j.issn.0255-8297.2018.02.004
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