The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparison of approaches to on-line handwritten character recognition
A comparison of approaches to on-line handwritten character recognition
Computer Processing of Line-Drawing Images
ACM Computing Surveys (CSUR)
A Comparison of Syntactic and Statistical Techniques for Off-Line OCR
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Information Sciences: an International Journal
Writer Adaptation for Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-commutative Logic for Hand-Written Character Modeling
AISC '02/Calculemus '02 Proceedings of the Joint International Conferences on Artificial Intelligence, Automated Reasoning, and Symbolic Computation
ACM SIGGRAPH 2007 courses
Pattern Recognition Letters
Towards a web-based progressive handwriting recognition environment for mathematical problem solving
Expert Systems with Applications: An International Journal
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In this paper, we will propose a simple yet robust structural approach for recognizing on-line handwriting. Our approach is designed to achieve reasonable speed, fairly high accuracy and sufficient tolerance to variations. Experimental results show that the recognition rates are 98.60% for digits, 98.49% for uppercase letters, 97.44% for lowercase letters, and 97.40% for the combined set. When the rejected cases are excluded from the calculation, the rates can be increased to 99.93%, 99.53%, 98.55% and 98.07%, respectively. On the average, the recognition speed is about 7.5 characters per second running in Prolog on a Sun SPARe 10 Unix workstation and the memory requirement is reasonably low.