
Proceedings Paper
Rotation-robust math symbol recognition and retrieval using outer contours and image subsamplingFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents an unified recognition and retrieval system for isolated offline printed mathematical symbols
for the first time. The system is based on nearest neighbor scheme and uses modified Turning Function and
Grid Features to calculate the distance between two symbols based on Sum of Squared Difference. An unwrap
process and an alignment process are applied to modify Turning Function to deal with the horizontal and vertical
shift caused by the changing of staring point and rotation. This modified Turning Function make our system
robust against rotation of the symbol image. The system obtains top-1 recognition rate of 96.90% and 47.27%
Area Under Curve (AUC) of precision/recall plot on the InftyCDB-3 dataset. Experiment result shows that
the system with modified Turning Function performs significantly better than the system with original Turning
Function on the rotated InftyCDB-3 dataset.
Paper Details
Date Published: 4 February 2013
PDF: 12 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 865805 (4 February 2013); doi: 10.1117/12.2008383
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
PDF: 12 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 865805 (4 February 2013); doi: 10.1117/12.2008383
Show Author Affiliations
Siyu Zhu, Rochester Institute of Technology (United States)
Lei Hu, Rochester Institute of Technology (United States)
Lei Hu, Rochester Institute of Technology (United States)
Richard Zanibbi, Rochester Institute of Technology (United States)
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
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