Character recognition—a review
Pattern Recognition
An MLP using Hough transform based fuzzy feature extraction for Bengali script recognition
Pattern Recognition Letters
Off-Line Handwritten Chinese Character Recognition as a Compound Bayes Decision Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Recognition of Unconstrained Off-Line Bangla Handwritten Numerals
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Off Line Arabic Character Recognition - A Survey
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Character Recognition by Geometrical Moments on Structural Decompositions
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Gujarati Character Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Structural Decomposition and description of Printed and Handwritten Characters
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Adaptive Hindi OCR using generalized Hausdorff image comparison
ACM Transactions on Asian Language Information Processing (TALIP)
Structural Decomposition and Statistical Description of Farsi/Arabic Handwritten Numeric Characters
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Stroke Segmentation of Chinese Characters Using Markov Random Fields
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Curvelet-Based Multi SVM Recognizer for Offline Handwritten Bangla: A Major Indian Script
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Handwritten Bangla Compound Character Recognition Using Gradient Feature
ICIT '07 Proceedings of the 10th International Conference on Information Technology
Document image analysis for digital libraries
Proceedings of the 2006 international workshop on Research issues in digital libraries
Word level multi-script identification
Pattern Recognition Letters
A hierarchical approach to recognition of handwritten Bangla characters
Pattern Recognition
SVM-based hierarchical architectures for handwritten Bangla character recognition
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Implementation of Three Text to Speech Systems for Kurdish Language
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Efficient search in document image collections
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Topological features for recognizing printed and handwritten Bangla characters
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
An improved contour-based thinning method for character images
Pattern Recognition Letters
Towards Improving the Accuracy of Telugu OCR Systems
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Integrating knowledge sources in Devanagari text recognition system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fast Polygonal Approximation of Digital Curves Using Relaxed Straightness Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Offline Recognition of Devanagari Script: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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In this paper we propose a novel character recognition method for Bangla compound characters. Accurate recognition of compound characters is a difficult problem due to their complex shapes. Our strategy is to decompose a compound character into skeletal segments. The compound character is then recognized by extracting the convex shape primitives and using a template matching scheme. The novelty of our approach lies in the formulation of appropriate rules of character decomposition for segmenting the character skeleton into stroke segments and then grouping them for extraction of meaningful shape components. Our technique is applicable to both printed and handwritten characters. The proposed method performs well for complex-shaped compound characters, which were confusing to the existing methods.