๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Text page recognition using Grey-level features and hidden Markov models

โœ Scribed by Kjersti Aas; Line Eikvil


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
838 KB
Volume
29
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Continuous hidden Markov models integrat
โœ Yumin Lee; Lin-shan Lee ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 653 KB

Feature parameters describing spectral transitions of speech signals have been properly integrated with the instantaneous features in many different approaches proposed for speech recognition, and significant performance improvements have been attained. Most of these methods are designed for recogni

Fold recognition using predicted seconda
โœ Di Francesco, Valentina; Geetha, V.; Garnier, Jean; Munson, Peter J. ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 59 KB ๐Ÿ‘ 2 views

We present an analysis of the blind predictions submitted to the fold recognition category for the second meeting on the Critical Assessment of techniques for protein Structure Prediction. Our method achieves fold recognition from predicted secondary structure sequences using hidden Markov models (H

Dynamic footprint-based person recogniti
โœ Jin-Woo Jung; Tomomasa Sato; Zeungnam Bien ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 240 KB

Many diverse methods have been developed in the field of biometric identification as a greater emphasis is placed on human friendliness in the area of intelligent systems. One emerging method is the use of footprint shape. However, in previous research, there were some limitations resulting from the