Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing i...
Abstract. This paper presents the evaluation methods and the preliminary results of a combined thematic segmentation of (a) meeting documents and (b)meeting speech transcript. Our ...
Abstract—In this paper, we present a novel languageindependent algorithm for extracting text-lines from handwritten document images. Our algorithm is based on the seam carving ap...
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...