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Published in:
2015 | OriginalPaper | Chapter
Logo Recognition Using CNN Features
Authors : Simone Bianco, Marco Buzzelli, Davide Mazzini, Raimondo Schettini
Published in: Image Analysis and Processing — ICIAP 2015
Publisher: Springer International Publishing
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In this paper we propose a method for logo recognition based on Convolutional Neural Networks, instead of the commonly used keypoint-based approaches. The method involves the selection of candidate subwindows using an unsupervised segmentation algorithm, and the SVM-based classification of such candidate regions using features computed by a CNN. For training the neural network we augment the training set with artificial transformations, while for classification we exploit a query expansion strategy to increase the recall rate. Experiments were performed on a publicly-available dataset that was also corrupted in order to investigate the robustness of the proposed method with respect to blur, noise and lossy compression.