Early feature stream integration versus decision level combination in a multiple classifier system for text line recognition
2006Vol. 2, pp. 845–848
Citations Over TimeTop 23% of 2006 papers
Abstract
This paper compares two different methods to combine feature streams to improve the performance of offline handwritten text line recognition systems. In both methods a pixel-based and a geometric feature stream are combined. The first method integrates the feature streams at an early stage whereas in the second method a combination step at the decision level is applied. In the experiments, the early integration approach outperforms the decision level combination as well as recognisers built from the individual feature streams
Related Papers
- → A Comparison of Fish Community Composition of Headwater and Adventitious Streams in a Coldwater River System(2006)12 cited
- → The influence of water quality on macroinvertebrate community responses to copper in outdoor experimental streams(1989)42 cited
- → Time of travel of selected Arkansas streams(1982)5 cited
- → Acid Sensitivity of Three Large Nepalese Catchments: Case Study of Bhote Kosi, Everest and Langtang(2001)1 cited
- → IMPINGING STREAMS A HUMOROUS INTRODUCTION(1994)