Online Medical Symbol Recognition Using a Tablet PC

Abstract

In this paper we describe a scheme to enhance the usability of Tablet PC handwriting recognition systems by creating a software module for recognizing symbols that are not a part of the Tablet PC symbol library. The goal of this work is to make handwriting recognition more useful for medical professionals accustomed to using medical symbols in medical records. To demonstrate that this new symbol recognition module is robust and expandable, we report results on both a medical symbol set and an expanded symbol test set which includes selected mathematical symbols.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
AD1108516

Entities

People

  • Amlan Kundu
  • Cheryl Clark
  • Qian Hu
  • Randy Fish
  • Stanley Boykin
  • Stephen Jones
  • Stephen Moore

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Software
  • Artificial Neural Networks
  • Character Recognition
  • Computer Languages
  • Computer Vision
  • Computers
  • Dictionaries
  • Feature Extraction
  • Health Services
  • Hidden Markov Models
  • Identification
  • Image Processing
  • Language
  • Machine Learning
  • Neural Nets
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Supervised Machine Learning
  • Tablet Computers
  • Web Browsers

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Human-Computer Interaction (HCI).
  • Medical or Health Care Field.