Offline Writer Identification Using Convolutional Neural Network Activation Features

arXiv:2402.17029v1 Announce Type: new
Abstract: Convolutional neural networks (CNNs) have recently become the state-of-the-art tool for large-scale image classification. In this work we propose the use of activation features from CNNs as local descriptors for writer identification. A global descriptor is then formed by means of GMM supervector encoding, which is further improved by normalization with the KL-Kernel. We evaluate our method on two publicly available datasets: the ICDAR 2013 benchmark database and the CVL dataset. While we perform comparably …

abstract art arxiv become classification cnns convolutional neural network convolutional neural networks cs.cv encoding features global identification image network networks neural network neural networks offline scale state tool type work writer