Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-based hand sign recognition from intensity image sequences
Computer Vision and Image Understanding
A System for Person-Independent Hand Posture Recognition against Complex Backgrounds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Time Euclidean Distance Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards an Automatic Sign Language Recognition System Using Subunits
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
Color-Based Hands Tracking System for Sign Language Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Robust Face Detection and Hand Posture Recognition in Color Images for Human-Machine Interaction
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Recognition of Local Features for Camera-Based Sign Language Recognition System
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Digital Photography: Expert Techniques
Digital Photography: Expert Techniques
Real-Time Detection and Understanding of Isolated Protruded Fingers
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
Static Hand Gesture Recognition based on Local Orientation Histogram Feature Distribution Model
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 10 - Volume 10
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hand Posture Classification and Recognition using the Modified Census Transform
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
2D Euclidean distance transform algorithms: A comparative survey
ACM Computing Surveys (CSUR)
Hand gesture recognition and tracking based on distributed locally linear embedding
Image and Vision Computing
Recognition of Static Human Gesture Based on Radiant-Projection-Transform and Fourier-Transform
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04
Image Analysis by Modified Krawtchouk Moments
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
User-adaptive hand gesture recognition system with interactive training
Image and Vision Computing
A hand gesture recognition system based on local linear embedding
Journal of Visual Languages and Computing
A person independent system for recognition of hand postures used in sign language
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
Gesture-based interaction and communication: automated classification of hand gesture contours
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Image analysis by Tchebichef moments
IEEE Transactions on Image Processing
Image analysis by Krawtchouk moments
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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Static hand gesture recognition involves interpretation of hand shapes by a computer. This work addresses three main issues in developing a gesture interpretation system. They are (i) the separation of the hand from the forearm region, (ii) rotation normalization using the geometry of gestures and (iii) user and view independent gesture recognition. The gesture image comprising the hand and the forearm is detected through skin color detection and segmented to obtain a binary silhouette. A novel method based on the anthropometric measures of the hand is proposed for extracting the regions constituting the hand and the forearm. An efficient rotation normalization method that depends on the gesture geometry is devised for aligning the extracted hand. These normalized binary silhouettes are represented using the Krawtchouk moment features and classified using a minimum distance classifier. The Krawtchouk features are found to be robust to viewpoint changes and capable of achieving good recognition for a small number of training samples. Hence, these features exhibit user independence. The developed gesture recognition system is robust to similarity transformations and perspective distortions. It can be well realized for real-time implementation of gesture based applications.