A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The State of the Art in Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fundamentals of speech recognition
Fundamentals of speech recognition
CHI '95 Conference Companion on Human Factors in Computing Systems
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera-Based ID Verification by Signature Tracking
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Online Handwriting Data Acquisition Using a Video Camera
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Visual Input for Pen-Based Computers
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Visual input for pen-based computers
Visual input for pen-based computers
Visual Identification by Signature Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hybrid Recognition for One Stroke Style Cursive Handwriting Characters
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Visual-based online signature verification using features extracted from video
Journal of Network and Computer Applications
Vision-Based Fingertip-Writing Character Recognition
Journal of Signal Processing Systems
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Decomposition of human motion into dynamics-based primitives with application to drawing tasks
Automatica (Journal of IFAC)
Pattern Recognition Letters
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The design and implementation of a camera-based, human-computer interface for acquisition of handwriting is presented. The camera focuses on a standard sheet of paper and images a common pen; the trajectory of the tip of the pen is tracked and the contact with the paper is detected. The recovered trajectory is shown to have sufficient spatio-temporal resolution and accuracy to enable handwritten character recognition. More than 100 subjects have used the system and have provided a large and heterogeneous set of examples showing that the system is both convenient and accurate.