A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A syntactic geometric approach to recognition of dimensions in engineering machine drawings
Computer Vision, Graphics, and Image Processing
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document image analysis: a bibliography
Machine Vision and Applications - Special issue: document image analysis techniques
A System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Text Regions From Digital Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing of Technical Line Drawing Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new recognition model for electronic architectural drawings
Computer-Aided Design
Text extraction from graphical document images using sparse representation
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A new text detection algorithm for content-oriented line drawing image retrieval
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A vectorization system for architecture engineering drawings
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
| Hi-index | 0.14 |
This correspondence presents a system for detecting dimension sets in engineering drawings that are drawn to ANSI drafting standards. A new rule-based text/graphics separation algorithm and a model-based procedure for detecting arrowheads in any orientation have been developed. Arrowhead tracking and search methods are used to extract leaders, tails, and witness lines from segmented images containing only graphics. Text blocks and feature control frames extracted from the segmented images are than associated with their corresponding leaders to obtain complete dimension sets. Experimental results are presented.