Design of a neural network character recognizer for a touch terminal
Pattern Recognition
Fundamentals of speech recognition
Fundamentals of speech recognition
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Heading in the Right Direction
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
On-Line Handwriting Recognition with Support Vector Machines " A Kernel Approach
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
COACH: cumulative online algorithm for classification of handwriting deficiencies
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Learning People Trajectories Using Semi-directional Statistics
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Directional structures detection based on morphological line-segment and orientation functions
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Motion pattern extraction and event detection for automatic visual surveillance
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Color image segmentation using a semi-wrapped gaussian mixture model
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
HBF49 feature set: A first unified baseline for online symbol recognition
Pattern Recognition
People orientation recognition by mixtures of wrapped distributions on random trees
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
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The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linear data. Both for directional and linear data a theory for a statistical modeling exists. However, none of these theories gives an integrated solution to problems, where linear and directional variables are to be combined in a single, multivariate probability density function. We describe a general approach for a unified statistical modeling, given the constraint that variances of the circular variables are small. The method is practically evaluated in the context of our online handwriting recognition system frog on hand and the so-called tangent slope angle feature. Recognition results are compared with two alternative modeling approaches. The proposed solution gives significant improvements in recognition accuracy, computational speed and memory requirements.