A thinning algorithm based on contours
Computer Vision, Graphics, and Image Processing
A One-Pass Two-Operation Process to Detect the Skeletal Pixels on the 4-Distance Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Survey of Methods and Strategies in Character Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
A novel triangulation procedure for thinning hand-written text
Pattern Recognition Letters
Segmentation of Bangla Unconstrained Handwritten Text
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
An Improved Parallel Thinning Algorithm
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Skeletonization of Ribbon-Like Shapes Based on a New Wavelet Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Hindi OCR using generalized Hausdorff image comparison
ACM Transactions on Asian Language Information Processing (TALIP)
Image thinning using pulse coupled neural network
Pattern Recognition Letters
Optimal Inference for Hierarchical Skeleton Abstraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Binary Image Thinning Using Autowaves Generated by PCNN
Neural Processing Letters
A Shape-Adaptive Thinning Method for Binary Images
CW '08 Proceedings of the 2008 International Conference on Cyberworlds
New 2d parallel thinning algorithms based on critical kernels
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Wavelet-Based Approach to Character Skeleton
IEEE Transactions on Image Processing
Implementation of parallel thinning algorithms using recurrent neural networks
IEEE Transactions on Neural Networks
An optimization for binarization methods by removing binary artifacts
Pattern Recognition Letters
Recognition of Bangla compound characters using structural decomposition
Pattern Recognition
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Digital skeleton of character images, generated by thinning method, has a wide range of applications for shape analysis and classification. But thinning of character images is a big challenge. Removal of spurious strokes or deformities in thinning is a difficult problem. In this paper, we propose a contour-based thinning method used for performing skeletonization of printed noisy isolated character images. In this method, we use shape characteristics of text to get skeleton of nearly same as the true character shape. This approach helps to preserve the local features and true shapes of the character images. As a by-product of our thinning approach, the skeleton also gets segmented into strokes in vector form. Hence further stroke segmentation is not required. Experiment is done on printed English, Bengali, Hindi, and Tamil characters and we obtain much better results comparing with other thinning methods without any post-processing.