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Alphanumeric Character Recognizer 1.0

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Overview

The Lipi Alphanumeric Character Recognizer Package lipi-reco-char-alphanum 1.0 contains separate “pre-built” recognizers for isolated handwritten English uppercase characters, lowercase characters and numerals in digital ink form captured using an electronic stylus. They are built using the Lipi Toolkit and are meant for users interested in integrating such recognition capabilities into an application.

These recognizers are not meant to represent the state of the art in recognition technology, but rather provided for the purpose of creating interesting new applications.

The recognizer package comes with three pre-built shape recognizers:

  • Numerals: For Indo-Arabic numerals [0-9].
  • Eng_upper: For uppercase English alphabet [A-Z].
  • Eng_lower: For lowercase English alphabet [a-z].

 

Package Contents

The package contains dynamic libraries, configuration files and model data files for the three recognizers.

 

Supported Platforms

lipi-reco-char-alphanum 1.0 comes in versions for Windows and Linux, and has been tested on the following platforms:

  • Windows XP Professional
  • Windows 2000 Professional edition
  • Red hat Enterprise Linux Edition 3.0
  • GNU Linux 2.6.9.22
  • GNU Linux (Ubuntu) 2.6.14.6

System Requirements

Disk Requirements

lipi-reco-char-alphanum1.0 packages for Windows and Linux are 5.3 MB in size and require 13.9 MB of space after extraction.

Software Requirements

Windows
Linux

Recognition Accuracy

The built recognizers use Dynamic Time Warping (DTW) shape recognition method and have been trained and bencharked using the IRONOFF handwriting database. For more details please see the lipi-reco-char-alphanum User Manual.

Recognizer Accuracy Reported
Numerals 97.94%
Eng_upper 93.35%
Eng_lower 88.34%

 

Enhancements & Bugs Fixed

This is the first version of pre-built recognizers.

Known Issues

Backward Compatibility

This is the first version of built recognizers.

Compatibility with Lipi Core Toolkit

The recognizers are built using the version 1.1 of the core toolkit.

Documents

lipi-reco-char-alphanum 1.0 comes with following documents.

Contributors

  • Mandalapu Dinesh, HPL
  • Nidhi Sharma, HP GDIC

Acknowledgements

We would like to thank IRESTE, University of Nantes (France) for allowing the use of the IRONOFF handwriting database for training the pre-built recognizers. For more information about this database, visit  http://www.infres.enst.fr/~elc/GRCE/news/IRONOFF.doc.


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Last updated: 12/07/07.