Title :
A synthetic database to assess segmentation algorithms
Author :
Oliveira, Luiz S. ; Britto, Alceu S., Jr. ; Sabourin, Robert
Author_Institution :
Pontificia Univ. Catolica de Parana, Curitiba, Brazil
fDate :
29 Aug.-1 Sept. 2005
Abstract :
In this paper we describe a synthetic database composed of 273,452 handwritten touching digits pairs to assess segmentation algorithms. It contains several different kinds of touching and it was generated by connecting 2,000 images of isolated digits extracted from the NIST SD19. In order to get a better insight on the proposed database and establish some parameters for further comparisons, we carried out experiments using four state-of-the-art segmentation algorithms.
Keywords :
handwriting recognition; handwritten character recognition; image segmentation; visual databases; handwriting recognition; handwritten touching digits pairs; state-of-the-art segmentation algorithm; synthetic database; Character recognition; Data mining; Handwriting recognition; Image databases; Image recognition; Image segmentation; Isolation technology; Joining processes; NIST; Robustness; Handwriting Recognition; Segmentation; Synthetic Data.;
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2420-6
DOI :
10.1109/ICDAR.2005.35
