Biometrics Research Group

Research

Handwriting Recognition

Handwriting recognition is the problem of recognizing a handwritten word; the input may be obtained via scanning (offline recognition) or from a digitizing tablet (online recognition). Whereas recognizing machine print (OCR) is largely solved for clean documents, the problem still remains for noisy, small font documents, and handwritten documents.

handwriting recognition

Mathlet: Online Handwritten Mathematical Expression Recognition

Project Description

We have developed a system for online handwritten mathematical expression recognition together with a user-interface for writing scientific articles. A neural network is trained for recognizing each stroke and a recursive algorithm parses the expression by combining neural network output and 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 also supports conversion of hand-drawn figures into PNG format, which enable the user to enter text, mathematics and draw figures in a single interface. After the recognition, all output is combined into one LATEX code and compiled into a PDF file.