MRF based text binarization in complex images using stroke feature

Abstract

This paper presents a novel binarization technique for text images based on Markov Random Field (MRF) framework. We regard stroke as an obvious feature of text to produce clustering result, which will be optimized by MRF model combining color, texture, context features to get the final binarization. The main innovations of our method are: (1) the integrated… (More)
DOI: 10.1109/ICDAR.2015.7333876

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@article{Wang2015MRFBT, title={MRF based text binarization in complex images using stroke feature}, author={Yanna Wang and Cunzhao Shi and Baihua Xiao and Chunheng Wang}, journal={2015 13th International Conference on Document Analysis and Recognition (ICDAR)}, year={2015}, pages={821-825} }