Evaluation of binarization algorithms for camera-based devices
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
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Increasing the performance of document analysis systems requires a detailed quality evaluation of the achieved results. By focussing on segmentation algorithms, we point out that the results produced from the module under consideration should be evaluated directly; we show that the text-based evaluation method which is often used in the document analysis domain is not sufficient for the purpose of a detailed quality evaluation of the segmentation module.Therefore, we propose a general evaluation approach for comparing segmentation results which is based on the segments directly. This approach is able to handle both algorithms which produce complete segmentations (partition) and algorithms which only extract objects of interest (extraction).Classes of errors are defined in a systematic way and frequencies for each class can be computed. The evaluation approach is applicable to segmentation or extraction algorithms in a wide range. We have chosen the character segmentation task as an example to demonstrate the applicability of our evaluation approach and we suggest to apply our approach to other segmentation tasks.