2022/02/12 by Nimish Magre, Nicholas Brown, Magre, Nimish +1 · 2 citations
Computer Science · #Handwritten Text Recognition Techniques #Image Retrieval and Classification Techniques #Visual Attention and Saliency Detection #cs.CV
paper · pdf · doi:10.48550/arxiv.2202.08112
arxiv created 2022/02/12 · arxiv updated 2022/02/17
We present Typography-MNIST (TMNIST), a dataset comprising of 565,292 MNIST-style grayscale images representing 1,812 unique glyphs in varied styles of 1,355 Google-fonts. The glyph-list contains common characters from over 150 of the modern and historical language scripts with symbol sets, and each font-style represents varying subsets of the total unique glyphs. The dataset has been developed as part of the CognitiveType project which aims to develop eye-tracking tools for real-time mapping of type to cognition and to create computational tools that allow for the easy design of typefaces with cognitive properties such as readability. The dataset and scripts to generate MNIST-style images for glyphs in different font styles are freely available at https://github.com/aiskunks/CognitiveType.