Paper Info
Title
Symbol Spotting in Offline Handwritten Mathematical Expressions.
Abstract
Recognition of touching characters in mathematical expressions is a challenging problem in the field of document image analysis. Various approaches for recognizing touching maths symbols have been reported in literature, but they mainly dealt with printed expressions and handwritten numeral strings. In this work, a new segmentation-free approach is proposed which matches convex shape portions of symbols occurring in various layout such as subscript, superscript, fraction etc. and is able to perform spotting of symbols present in a handwritten expression. Our contribution lies in the design of a novel feature which can handle touching symbols effectively in the presence of handwriting variations. This recognition-based approach helps in spotting symbols in an expression even in the presence of clutter created by the presence of other symbols.
Year
DOI
Venue
2018
10.1007/978-981-13-9361-7_5
DAR@ICVGIP
Field
DocType
Citations 
Handwriting,Expression (mathematics),Computer science,Clutter,Regular polygon,Speech recognition,Spotting,Symbol spotting,Numeral system
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Ridhi Aggarwal100.34
Gaurav Harit200.34
Anil Kumar Tiwari36517.51