Share Email Print
cover

Journal of Electronic Imaging

Design of a handprint recognition system
Author(s): Michael D. Garris; James L. Blue; Gerald T. Candela; Darrin L. Dimmick; Jon C. Geist; Patrick J. Grother; Stanley A. Janet; Omid M. Omidvar; Charles L. Wilson
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

A public domain optical character recognition (OCR) system has been developed by the National Institute of Standards and Technology (NIST). This standard reference form-based handprint recognition system is designed to provide a baseline of performance on an open application. The system’s source code, training data, performance assessment tools, and type of forms processed are all publicly available. The system is modular, allowing for system component testing and comparisons, and it can be used to validate training and testing sets in an end-to-end application. The system's source code is written in C and will run on virtually any UNIX-based computer. The presented functional components of the system are divided into three levels of processing: (1) form-level processing includes the tasks of form registration and form removal; (2) field-level processing includes the tasks of field isolation, line trajectory reconstruction, and field segmentation; and (3) character-level processing includes character normalization, feature extraction, character classification, and dictionary-based postprocessing. The system contains a number of significant contributions to OCR technology, including an optimized probabilistic neural network (PNN) classifier that operates a factor of 20 times faster than traditional software implementations of the algorithm. Provided in the system are a host of data structures and low-level utilities for computing spatial histograms, least-squares fitting, spatial zooming, connected components, Karhunen Loève feature extraction, optimized PNN classification, and dynamic string alignment. Any portion of this standard reference OCR system can be used in commercial products without restrictions.

Paper Details

Date Published: 1 April 1997
PDF: 13 pages
J. Electron. Imaging. 6(2) doi: 10.1117/12.266865
Published in: Journal of Electronic Imaging Volume 6, Issue 2
Show Author Affiliations
Michael D. Garris, National Institute of Standards and Technology (United States)
James L. Blue, National Institute of Standards and Technology (United States)
Gerald T. Candela, National Institute of Standards and Technology (United States)
Darrin L. Dimmick, National Institute of Standards and Technology (United States)
Jon C. Geist, Optical E.T.C., Inc. (United States)
Patrick J. Grother, National Institute of Standards and Tech (United States)
Stanley A. Janet, National Institute of Standards and Technology (United States)
Omid M. Omidvar, Univ. of the District of Columbia (United States)
Charles L. Wilson, National Institute of Standards and Technology (United States)


© SPIE. Terms of Use
Back to Top