A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of newspaper image blocks using texture analysis
Computer Vision, Graphics, and Image Processing
Document image analysis: a bibliography
Machine Vision and Applications - Special issue: document image analysis techniques
Document Representation and Its Application to Page Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multiresolution approach for page segmentation
Pattern Recognition Letters
Segmentation of page images using the area Voronoi diagram
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
The computer image
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fuzzy Approach to Segment Document Images
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Line Separation for Complex Document Images Using Fuzzy Runlength
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Word segmentation of handwritten text using supervised classification techniques
Applied Soft Computing
Knowledge discovery by a neuro-fuzzy modeling framework
Fuzzy Sets and Systems
In-vehicle network level fault diagnostics using fuzzy inference systems
Applied Soft Computing
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends
Machine Graphics & Vision International Journal
A graph based approach for heterogeneous document segmentation
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Image segmentation using Atanassov's intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
Segmentation of connected handwritten digits using Self-Organizing Maps
Expert Systems with Applications: An International Journal
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In this work, we propose a new document page segmentation method, capable of differentiating between text, graphics and background, using a neuro-fuzzy methodology. Our approach is based firstly on the analysis of a set of features extracted from the image, available at different resolution levels. An initial segmentation is obtained by classifying the pixels into coherent regions, which are successively refined by the analysis of their shape. The core of our approach relies on a neuro-fuzzy methodology, for performing the classification processes. The proposed strategy is capable of describing the physical structure of a page in an accurate way and proved to be robust against noise and page skew. Additionally, the knowledge-based neuro-fuzzy methodology allows us to understand the classification mechanisms better, contrary to what happens when other kinds of knowledge-free methods are applied.