The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are...
Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos F...
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
This paper presents a system to recognize online handwritten Gurmukhi words. We have proposed a new step as rearrangement of recognized strokes in online handwriting recognition p...
The implementation of word spotting is not an easy procedure and it gets even worse in the case of historical documents since it requires character recognition and indexing of the...