Accession Number:

ADA458743

Title:

A Point Matching Algorithm for Automatic Groundtruth Generation

Descriptive Note:

Conference paper

Corporate Author:

MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH

Personal Author(s):

Report Date:

2001-02-01

Pagination or Media Count:

36.0

Abstract:

Geometric groundtruth at the character, word, and line levels is crucial for developing and evaluating optical character recognition OCR algorithms. Kanungo and Haralick proposed a closed-loop methodology for generating character-level groundtruth for rescanned images. In this paper, we present a robust version of their methodology. We grouped the feature points and used a feature point registration algorithm on the grouped feature point set to estimate the transformation. The Euclidean distance between character centroids was used as the error metric. We performed experiments on the University of Washington data set.

Subject Categories:

  • Numerical Mathematics
  • Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE