A note on the calculation of moments
Pattern Recognition Letters
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Possible World Semantics for General Storage in Call-By-Value
CSL '02 Proceedings of the 16th International Workshop and 11th Annual Conference of the EACSL on Computer Science Logic
A Ground-Truthed Mathematical Character and Symbol Image Database
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A database of glyphs for OCR of mathematical documents
MKM'05 Proceedings of the 4th international conference on Mathematical Knowledge Management
A Linear Grammar Approach to Mathematical Formula Recognition from PDF
Calculemus '09/MKM '09 Proceedings of the 16th Symposium, 8th International Conference. Held as Part of CICM '09 on Intelligent Computer Mathematics
Handwritten character recognition through two-stage foreground sub-sampling
Pattern Recognition
A database of glyphs for OCR of mathematical documents
MKM'05 Proceedings of the 4th international conference on Mathematical Knowledge Management
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We present an approach for recognising mathematical texts using an extensive ${\rm L\kern-.36em\raise.3ex\hbox{\sc a}\kern-.15em T\kern-.1667em\lower.7ex\hbox{E}\kern-.125emX}$symbol database and a novel recognition algorithm. The process consists essentially of three steps: Recognising the individual characters in a mathematical text by relating them to glyphs in the database of symbols, analysing the recognised glyphs to determine the closest corresponding ${\rm L\kern-.36em\raise.3ex\hbox{\sc a}\kern-.15em T\kern-.1667em\lower.7ex\hbox{E}\kern-.125emX}$symbol, and reassembling the text by putting the appropriate ${\rm L\kern-.36em\raise.3ex\hbox{\sc a}\kern-.15em T\kern-.1667em\lower.7ex\hbox{E}\kern-.125emX}$commands at their corresponding positions of the original text inside a ${\rm L\kern-.36em\raise.3ex\hbox{\sc a}\kern-.15em T\kern-.1667em\lower.7ex\hbox{E}\kern-.125emX}$picture environment. The recogniser itself is based on a novel variation on the application of geometric moment invariants. The working system is implemented in Java.