Symbol recognition combining vectorial and statistical features

Authors:
Hervé Locteau;Sébastien Adam;Éric Trupin;Jacques Labiche;Pierre Héroux
Affiliations:
LITIS, Université de Rouen, Saint-Etienne du Rouvray, France;LITIS, Université de Rouen, Saint-Etienne du Rouvray, France;LITIS, Université de Rouen, Saint-Etienne du Rouvray, France;LITIS, Université de Rouen, Saint-Etienne du Rouvray, France;LITIS, Université de Rouen, Saint-Etienne du Rouvray, France
Venue:
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Year:
2005

Citing 9
Cited 2

Invariant Image Recognition by Zernike Moments

IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge-Directed Interpretation of Mechanical Engineering Drawings

IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
A Scale and Rotation Parameters Estimator Application to Technical Document Interpretation

GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Evaluating Document Analysis Results via Graph Probing

ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Radon Transform for Lineal Symbol Representation

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A (Sub)Graph Isomorphism Algorithm for Matching Large Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition via Statistical Integration of Pixel-Level Constraint Histograms: A New Descriptor

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image analysis by Tchebichef moments

IEEE Transactions on Image Processing

On the use of geometric matching for both: isolated symbol recognition and symbol spotting

GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Spectra of shape contexts: An application to symbol recognition

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is associated with a graph of vectorial primitives. Thus, a loop is both representend in terms of its boundaries and its content. Some preliminary results are provided thanks to the evaluation protocol established for the GREC 2003 workshop. Experiments have shown that the existing system does not really suffer from errors but needs to take advantage of vectorial primitives which are not involved in the definition of loops.