Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognition
Graphics Recognition. Recent Advances and New Opportunities
A Region-Based Hashing Approach for Symbol Spotting in Technical Documents
Graphics Recognition. Recent Advances and New Opportunities
Pattern Recognition Methods for Querying and Browsing Technical Documentation
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Relational indexing of vectorial primitives for symbol spotting in line-drawing images
Pattern Recognition Letters
Fuzzy intervals for designing structural signature: an application to graphic symbol recognition
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Automatic analysis and sketch-based retrieval of architectural floor plans
Pattern Recognition Letters
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In this paper we present a method to determine which symbols are probable to be found in technical drawings using vectorial signatures. These signatures are formulated in terms of geometric and structural constraints between segments, as parallelisms, straight angles, etc. After representing vectorized line drawings with attributed graphs, our approach works with a multi-scale representation of these graphs, retrieving the features that are expressive enough to create the signature. Since the proposed method integrates a distortion model, it can be used either with scanned and then vectorized drawings or with hand-drawn sketches.