Abstract
In this paper we propose a content-based image authentication mechanism using SOM trajectories and local features extracted from the image. The features computed are used as input to the SOM which computes a number of prototypes. Then, the prototypes corresponding to each image block define a trajectory in the SOM space which is used to define the hash. Moreover, modifications in the texture of intensity distribution can be identified as they impose changes in hash.
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Peinado, A., Ortiz, A., Cotrina, G. (2014). Content-Based Image Authentication Using Local Features and SOM Trajectories. In: Herrero, Á., et al. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Advances in Intelligent Systems and Computing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-01854-6_47
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DOI: https://doi.org/10.1007/978-3-319-01854-6_47
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01853-9
Online ISBN: 978-3-319-01854-6
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