Optical Font Recognition Using Typographical Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Font Recognition Based on Global Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Font Recognition and Contextual Processing for More Accurate Text Recognition
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
New features using fractal multi-dimensions for generalized Arabic font recognition
Pattern Recognition Letters
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In this work, we present a new tool for the font optical recognition. This tool is based on the use of the fractal geometry. We used two techniques for obtaining two parameters, they allowed the extraction of the global textures characteristics. These characteristics are expressed in a parametric form. The vision aspect is held in consideration, since it makes it possible to differentiate one font of another. Experiments show the importance of the proposed approach.