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View all- KIMURA M(2024)A Trial to Generate ASCII Art Images by Use of Machine Learning Models機械学習をつかったアスキーアート作成の試みJournal of Japan Society of Kansei Engineering10.5057/kansei.22.4_19122:4(191-196)Online publication date: 31-Dec-2024
The wide availability and popularity of text-based communication channels encourage the usage of ASCII art in representing images. Existing tone-based ASCII art generation methods lead to halftone-like results and require high text resolution for ...
Automatic recognition of both printed and handwritten characters is the most progressive research area since last few periods. The printed character recognition rate still desires concentration of researchers because of variations in shape, size ...
The paper represents a novel approach that improves the performance of optical handwritten digit recognition incorporating image to image translation technique in a way - that it translates the input image of handwritten domain to some model domain so ...
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