Robust image hashing using higher order spectral features

Chen, Brenden Chong & Chandran, Vinod (2010) Robust image hashing using higher order spectral features. In Proceedings of International Conference on Digital Image Computing : Techniques and Applications (DICTA), The Institute of Electrical and Electronics Engineers, Inc., Mercure Sydney Hotel, Sydney, New South Wales, Australia, pp. 100-104.

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Robust image hashing seeks to transform a given input image into a shorter hashed version using a key-dependent non-invertible transform. These image hashes can be used for watermarking, image integrity authentication or image indexing for fast retrieval. This paper introduces a new method of generating image hashes based on extracting Higher Order Spectral features from the Radon projection of an input image. The feature extraction process is non-invertible, non-linear and different hashes can be produced from the same image through the use of random permutations of the input. We show that the transform is robust to typical image transformations such as JPEG compression, noise, scaling, rotation, smoothing and cropping. We evaluate our system using a verification-style framework based on calculating false match, false non-match likelihoods using the publicly available Uncompressed Colour Image database (UCID) of 1320 images. We also compare our results to Swaminathan’s Fourier-Mellin based hashing method with at least 1% EER improvement under noise, scaling and sharpening.

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ID Code: 34388
Item Type: Conference Paper
Refereed: Yes
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Keywords: Image Hashing , Higher Order Spectra
ISBN: 9780769542713
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
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Deposited On: 09 Sep 2010 21:40
Last Modified: 29 Feb 2012 14:31

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