[hal-01077508] Recognizing Thousands of Legal Entities through Instance-based Visual Classification

This paper considers the problem of recognizing legal en-tities in visual contents in a similar way to named-entity recognizers for text documents Whereas previous works were restricted to the recognition of a few tens of logotypes we generalize the problem to the recognition of thousands of legal persons each being modeled by a rich corporate identity automatically built from web images We intro-duce a new geometrically-consistent instance-based classifi-cation method that is shown to outperform state-of-the-art techniques on several challenging datasets while being much more scalable Further experiments performed on an au-tomatic web crawl of 5824 legal entities demonstrates the scalability of the approach



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