Sciweavers

Share
ICDAR
2009
IEEE

A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques

8 years 8 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classification. In this paper, we propose a robust evaluation methodology that treats the distance computation and the gap classification stages independently. The detection rate calculated for every distance metric corresponds to the maximum detection rate that we could have achieved if we had a perfect classifier for the gap classification stage. The proposed evaluation framework has been applied to several state-of-the-art techniques using a handwritten as well as a historical printed document set. The best combination of distance metric computation and gap classification state-of-the-art techniques is proposed.
Georgios Louloudis, Nikolaos Stamatopoulos, Basili
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Georgios Louloudis, Nikolaos Stamatopoulos, Basilios Gatos
Comments (0)
books