Amanote Research
Register
Sign In
Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition
doi 10.1109/iwfhr.2004.40
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
X.Y. Liu
M. Blumenstein
Publisher
IEEE
Related search
A Modified Direction Feature for Cursive Character Recognition
Character Feature Learning for Named Entity Recognition
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Zernike Moment Feature Extraction for Handwritten Devanagari (Marathi) Compound Character Recognition
International Journal of Advanced Research in Artificial Intelligence
Binary Validation as Segmentation for Cursive Handwriting Recognition
Asian Journal of Information Technology
Atmospheric Science
Farsi Character Recognition Using New Hybrid Feature Extraction Methods
International Journal of Computer Science, Engineering and Information Technology
Segmented Character Recognition Using Curvature Based Global Image Feature
Turkish Journal of Electrical Engineering and Computer Sciences
Electronic Engineering
Electrical
Computer Science
Feature Evaluation for Handwritten Character Recognition With Regressive and Generative Hidden Markov Models
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
A Survey on Character Recognition Using Geometry Based Feature Extraction
IOSR Journal of Computer Engineering
Gradient Direction Pattern: A Gray-Scale Invariant Uniform Local Feature Representation for Facial Expression Recognition
Journal of Applied Sciences
