Digital Picture Processing
A System for Recognizing a Large Class of Engineering Drawings
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 System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Interpretation of Construction Structure Drawings
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Treatment of Diagrams in Document Image Analysis
Diagrams '00 Proceedings of the First International Conference on Theory and Application of Diagrams
IEEE Transactions on Pattern Analysis and Machine Intelligence
ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm
Graphics Recognition. Recent Advances and New Opportunities
From engineering diagrams to engineering models: Visual recognition and applications
Computer-Aided Design
Document processing with Bayesian network and agent-based programming
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Symbol recognition using bipartite transformation distance and angular distribution alignment
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Symbol recognition using spatial relations
Pattern Recognition Letters
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A high-performance logic circuit diagram reader was developed for VLSI-CAD data input. Almost all logic circuit symbols include one or more loop structures. A description is given of an efficient method for recognition of these loop-structured symbols. The proposed method consists of two processes: symbol segmentation and symbol identification. Symbol identification is achieved by a powerful hybrid method which uses heuristics to mediate between template matching and feature extraction. The entire symbol recognition process is carried out under a decision-tree control strategy. The entire recognition system for circuit diagrams is briefly explained, including character string recognition and connecting line analysis.