Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
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DAS '12 Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems
Effect of "Ground Truth" on Image Binarization
DAS '12 Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
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Document binary images, created by different algorithms, are commonly evaluated based on a pre-existing ground truth. Previous research found several pitfalls in this methodology and suggested various approaches addressing the issue. This article proposes an alternative binarization quality evaluation solution for binarized glyphs, circumventing the ground truth. Our method relies on intrinsic properties of binarized glyphs. The features used for quality assessment are stroke width consistency, presence of small connected components (stains), edge noise, and the average edge curvature. Linear and tree-based combinations of these features are also considered. The new methodology is tested and shown to be nearly as sound as human experts' judgments.