CRAug 9, 2019

Carl-Hauser -- Open Source Image Matching Algorithms Benchmarking Framework

arXiv:1908.03449v11 citationsHas Code
AI Analysis

This provides a tool for security analysts to compare image-matching algorithms, but it is incremental as it focuses on benchmarking rather than new algorithms.

The paper tackles the problem of evaluating image-matching algorithms by introducing an open-source benchmarking framework, which tests algorithms on datasets of phishing and onion websites and provides these datasets as open data.

Security analysts need to classify, search and correlate numerous images. Automatic classification tools improve the efficiency of such tasks. Many Image-Matching algorithms are presented in the litterature. The present paper introduces and provides a Open-Source benchmarking and evaluation tool for these algorithms. Is this paper, the framework evaluates algorithms on illustrative datasets, which are constituted of phishing and onion websites. Datasets are provided as Open-Data.

Foundations

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