作者: Anupama Ray , Ankit Chandawala , Santanu Chaudhury
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摘要: The paper presents a novel script independent CRF based inferencing framework for character recognition. In this we consider word as sequence of connected components. components are obtained using different binarization schemes and possible sequences considered tree structure. uses contextual information to learn perfect primitive finds the most probable labeling primitives multiple hypothesis form correct alphabets. This approach is particularly suitable degraded printed document images it considers alternate hypotheses decision.