Theoretical Computer Science
Letter Recognition Using Holland-Style Adaptive Classifiers
Machine Learning
HMM Based On-Line Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Online handwriting recognition using multiple pattern class models
Online handwriting recognition using multiple pattern class models
Non-commutative logic II: sequent calculus and phase semantics
Mathematical Structures in Computer Science
Elastic Structural Matching for On-Line Handwritten Alphanumeric Character Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A New Hybrid Approach to Large Vocabulary Cursive Handwriting Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Journal of Computer and System Sciences
Hi-index | 0.00 |
We have proposed a structural approach for on-line handwritten character recognition. Models of characters are writer-dependent. They are codified with the help of graphic primitives and represented in a data base. The originality of our approach comes from the ability for the system, to explain and justify its own choice, and to deal with all different writing systems, such as the Latin alphabet, or the Chinese or Japanese scrip for example, providing that an appropriate data base has been built up. For this reason, our recognizer can be very helpful for learners of "exotic" scripts. In this paper, we propose to analyse the recognition process in an appropriate logical framework, given by non-commutative Logic. We first point out the class of sequents which allows us to describe accurately the recognition process in terms of proofs, then, we will give some results about the complexity of the recognition problem depending on the expressive power of the representation language.