—Transcription of handwritten words in historical documents is still a difficult task. When processing huge amount of pages, document-centered approaches are limited by the trad...
Laurent Guichard, Joseph Chazalon, Bertrand Co&uum...
This paper presents a new approach for Handwritten Word Recognition based on Hidden Markov Model theory and the sliding window technique. The new approach uses specific singularit...
Sebastiano Impedovo, Anna Ferrante, Raffaele Modug...
Generally, handwritten word recognition systems use script specific methodologies. In this paper, we present a unified approach for multi-lingual recognition of alphabetic scripts...
Yousri Kessentini, Thierry Paquet, Abdelmajid Ben ...
—A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented ...
In this paper we introduce a constrained Level Building Algorithm (LBA) in order to reduce the search space of a Large Vocabulary Handwritten Word Recognition (LVHWR) system. A ti...
Alessandro L. Koerich, Robert Sabourin, Ching Y. S...
This paper describes a top-down word image generation model for holistic handwritten word recognition. To generate a word image, it uses likelihoods based, respectively, on a ling...
This paper presents a lexical post-processing optimization for handwritten word recognition. The aim of this work is to explore the combination of different lexical postprocessing...
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...