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» Individuality of Handwritten Characters
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HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICDAR
2009
IEEE
13 years 5 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...
ICDAR
2011
IEEE
12 years 7 months ago
A New Text-Line Alignment Approach Based on Piece-Wise Painting Algorithm for Handwritten Documents
—Because of writing styles of different individuals, some of the text-lines may be curved in shape. For recognition of such text-lines, their proper alignment is necessary. In th...
Alireza Alaei, P. Nagabhushan, Umapada Pal
CIARP
2003
Springer
14 years 28 days ago
Online Handwritten Signature Verification Using Hidden Markov Models
Most people are used to signing documents and because of this, it is a trusted and natural method for user identity verification, reducing the cost of password maintenance and decr...
Juan J. Igarza, Iñaki Goirizelaia, Koldo Es...
ICDAR
2011
IEEE
12 years 7 months ago
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
Vasant Manohar, Shiv Naga Prasad Vitaladevuni, Hua...