On the Use of Geometric Matching for Both: Isolated Symbol Recognition and Symbol Spotting

• Published in: Graphics Recognition. New Trends and Challenges pp. 36 - 48
• Main Authors: Nayef, Nibal, Breuel, Thomas M.
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013
• Series: Lecture Notes in Computer Science
• Subjects: Geometric Matching; Symbol Recognition; Symbol Spotting
• ISBN: 9783642368233; 3642368239
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-36824-0_4

Symbol recognition is important in many applications such as the automated interpretation of line drawings and retrieval-by-content search engines. This paper presents the use of geometric matching for symbol recognition under similarity transformations. We incorporate this matching approach in a complete symbol recognition/spotting system, which consists of denoising, symbol representation and recognition. The proposed system works for both isolated recognition and spotting symbols in context. For denoising, we use an adaptive preprocessing algorithm. For symbol representation, pixels and/or vectorial primitives can be used, then the recognition is done via geometric matching. When applied on the datasets of GREC’05 and GREC’11 symbol recognition contests, the system has performed significantly better than other statistical or structural methods.