Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Document Representation and Its Application to Page Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Processing for Automatic Knowledge Acquisition
IEEE Transactions on Knowledge and Data Engineering
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Line Segmentation in Handwritten Document Using a Production System
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Handwritten Document Offline Text Line Segmentation
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences)
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Script-Independent Text Line Segmentation in Freestyle Handwritten Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Image segmentation and selective smoothing by using Mumford-Shah model
IEEE Transactions on Image Processing
Handwritten Arabic text line segmentation using affinity propagation
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Hi-index | 0.01 |
Text line segmentation in handwritten documents is an important step in document image processing. We present a new text line segmentation method based on the Mumford-Shah model. The algorithm is script independent. In addition, we use morphing to remove overlaps between neighboring text lines and connect broken ones. Experimental results show the validity of our method.