Probabilistic model for segmentation based word recognition with lexicon
Sergey Tulyakov, Venu Govindaraju · 2002
We describe the construction of a model for off-line word recognizers based on over-segmentation of the input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, the Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR.