Title :
Online Handwritten Mathematical Expression Recognition
Author :
Büyükbayrak, Hakan ; Yanikoglu, Benin ; Erçil, Aytül
Author_Institution :
Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul
Abstract :
We describe a system for recognizing online, handwritten mathematical expressions, together with a user-interface for writing scientific articles. A neural network recognizes strokes and a recursive algorithm parses the expression by combining neural network output and the structure of the expression. The interface associated with the proposed system integrates the built-in recognition capabilities of the Microsoft´s Tablet PC API for recognizing textual input and supports conversion of hand-drawn figures into PNG format. This enables the user to enter text, mathematics and draw figures in a single interface. After recognition, all output is combined into one LATEX code and compiled into a PDF file
Keywords :
handwritten character recognition; neural nets; recursive functions; text analysis; user interfaces; LATEX code; Microsoft´s Tablet PC API; PDF file; PNG format; built-in recognition capability; neural network; online handwritten mathematical expression; recursive algorithm parses; strokes; textual input; user-interface; Equations; Handwriting recognition; Mathematics; Neural networks; Testing; Text recognition; Writing;
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location :
Antalya
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659813
