IEEE Transactions on Pattern Analysis and Machine Intelligence
Describing Complicated Objects by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Spectrum
Biometric Identification through Hand Geometry Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Symbolic Computation to Find Algebraic Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
3L Fitting of Higher Degree Implicit Polynomials
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Improving the stability of algebraic curves for applications
IEEE Transactions on Image Processing
Stable Fitting of 2D Curves and 3D Surfaces by Implicit Polynomials
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric verification/identification based on hands natural layout
Image and Vision Computing
Model-guided deformable hand shape recognition without positioning aids
Pattern Recognition
Biometric hand recognition using neural networks
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A representation of time series based on implicit polynomial curve
Pattern Recognition Letters
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Person identification and verification using biometric methods is getting more and more important in today's information society; resulting in increased utilization of systems that combine high security and ease of use. Hand recognition is a promising biometric that is being used in low-level security applications for several years. In this work, implicit polynomials, which have proven to be very successful in object modeling and recognition, have been proposed for recognizing hand shapes and the results are compared with existing methods.