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ICDAR
2011
IEEE
9 years 1 months ago
Exploiting Collection Level for Improving Assisted Handwritten Word Transcription of Historical Documents
—Transcription of handwritten words in historical documents is still a difficult task.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...
ICDAR
2009
IEEE
9 years 11 months ago
HMM Based Handwritten Word Recognition System by Using Singularities
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...
ICDAR
2009
IEEE
9 years 11 months ago
A Multi-Lingual Recognition System for Arabic and Latin Handwriting
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 ...
ICDAR
1995
IEEE
10 years 5 months ago
Handwritten word recognition for real-time applications
—A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented ...
Gyeonghwan Kim, Venu Govindaraju
ICAPR
2001
Springer
10 years 6 months ago
A Time-Length Constrained Level Building Algorithm for Large Vocabulary Handwritten Word Recognition
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...
ICDAR
2003
IEEE
10 years 6 months ago
A Study on Top-down Word Image Generation for Handwritten Word Recognition
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...
Eiki Ishidera, Daisuke Nishiwaki
ICDAR
2003
IEEE
10 years 6 months ago
Lexical Post-Processing Optimization for Handwritten Word Recognition
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...
Sabine Carbonnel, Éric Anquetil
ICDAR
2003
IEEE
10 years 6 months ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
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