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» Word Segmentation and Recognition for Web Document Framework
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AND
2009
13 years 5 months ago
A comprehensive evaluation methodology for noisy historical document recognition techniques
In this paper, we propose a new comprehensive methodology in order to evaluate the performance of noisy historical document recognition techniques. We aim to evaluate not only the...
Nikolaos Stamatopoulos, Georgios Louloudis, Basili...
ICDAR
2011
IEEE
12 years 7 months ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
ICDAR
1995
IEEE
13 years 11 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
ECCV
2008
Springer
14 years 9 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
ICDAR
2003
IEEE
14 years 25 days ago
A Contour Code Feature Based Segmentation For Handwriting Recognition
The purpose of this paper is to present a novel contour code feature in conjunction with a rule based segmentation for cursive handwriting recognition. A heuristic segmentation al...
Brijesh Verma