2-D Shape Classification Using Hidden Markov Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Image Retrieval by Elastic Matching of User Sketches
IEEE Transactions on Pattern Analysis and Machine Intelligence
A System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for Recognition of the Main Engineering Drawing Entities
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Image Database Retrieval of Rotated Objects by User Sketch
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Off-Line Cursive Handwriting Recognition Compared with On-Line Recognition
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Segmentation and classification of hand-drawn pictogram in cluttered scenes-an integrated approach
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Color image retrieval based on hidden Markov models
IEEE Transactions on Image Processing
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Hand Drawn Symbol Recognition by Blurred Shape Model Descriptor and a Multiclass Classifier
Graphics Recognition. Recent Advances and New Opportunities
A bag-of-paths based serialized subgraph matching for symbol spotting in line drawings
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A symbol spotting approach in graphical documents by hashing serialized graphs
Pattern Recognition
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An experimental mechanical engineering drawing database system, which allows a user to retrieve images by presenting sketches or shapes which represent details such as e.g. screws or holes, is presented in this paper. Due to the use of novel augmented pseudo 2-D Hidden Markov Models with filler states, images can be retrieved, where the detail that corresponds to the query is embedded in e.g. hatching or is connected to other elements in the image. The proposed technique achieves a good performance which is demonstrated by a number of query and retrieval examples in this paper.