Mapping Rule-Based And Stochastic Constraints To Connection Architectures: Implication For Hierarchical Image Processing

Author(s):  
Michael I. Miller ◽  
Badrinath Roysam ◽  
Kurt R. Smith
Author(s):  
Vishal A. Naik ◽  
Apurva A. Desai

In this article, an online handwritten word recognition system for the Gujarati language is presented by combining strokes, characters, punctuation marks, and diacritics. The authors have used a support vector machine classification algorithm with a radial basis function kernel. The authors used a hybrid features set. The hybrid feature set consists of directional features with curvature data. The authors have used a normalized chain code and zoning-based chain code features. Words are a combination of characters and diacritics. Recognized strokes require post-processing to form a word. The authors have used location-based and mapping rule-based post-processing methods. The authors have achieved an accuracy of 95.3% for individual characters, 91.5% for individual words, and 83.3% for sentences. The average processing time for individual characters is 0.071 seconds.


2006 ◽  
Vol 1 (1) ◽  
pp. 115-129 ◽  
Author(s):  
Ildiko Jancskar ◽  
Amalia Ivanyi

Sign in / Sign up

Export Citation Format

Share Document