Results 261 to 270 of about 1,897,899 (303)
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Lip signatures for automatic person recognition
1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451), 1999This paper evaluates lip features for person recognition, and compares the performance with that of the acoustic signal. Recognition accuracy is found to be equivalent in the two domains, agreeing with the findings of Chibelushi (1997). The optimum dynamic window length for both acoustic and visual modalities is found to be about 100 ms.
John S. D. Mason +4 more
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Warping-Based Offline Signature Recognition
IEEE Transactions on Information Forensics and Security, 2007Offline signature recognition is an important form of biometric identification that can be used for various purposes. Similar to other biometric measures, signatures have inherent variability and so pose a difficult recognition problem. In this paper, we explore a novel approach for reducing the variability associated with matching signatures based on ...
Gady Agam, Suneel Suresh
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Signature recognition through spectral analysis
Pattern Recognition, 1989Abstract Features such as shape, motion and pressure, minutiae details and timing, and transformation methods such as Hadamard and Walsh have been used in handwritten signature recognition with various degrees of success. Others have successfully used nonlinear warping functions to optimally time-match an unknown to a standard signature.
Chan F. Lam, David Kamins
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Trajectory signature for action recognition in video
Proceedings of the 20th ACM international conference on Multimedia, 2012Bag-of-Words representation based on trajectory local features and taking into account the spatio-temporal context through static segmentation grids is currently the leading paradigm to perform action annotation.While providing a coarse localization of low-level features, those approaches tend to be limited by the grid rigidity. In this work we propose
Nicolas Ballas +2 more
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Development of novel signature architecture for signature recognition
Journal of Discrete Mathematical Sciences and CryptographyThe aim of this research paper is to propose a novel signature recognition system that utilizes deep learning techniques to accurately identify the name of a person based on their handwritten signature. The proposed architecture involves the use of a convolutional neural network (CNN) for feature extraction and a neural network for classification ...
Deepak Moud, Rakesh Kumar Saxena
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Head-to-shoulder signature for person recognition
2012 IEEE International Conference on Robotics and Automation, 2012Ensuring that an interaction is initiated with a particular and unsuspecting member of a group is a complex task. As a first step the robot must effectively, expediently and reliably recognise the humans as they carry on with their typical behaviours (in situ).
Nathan Kirchner +2 more
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Preliminary pattern recognition in polarimetric signatures
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012In the presented paper the idea of a new method of quad-polarimetric SAR data decomposition is presented. The proposed decomposition is based on the pattern recognition in polarimetric signatures. In the described decomposition four basic scattering mechanisms are taken into consideration: single bounce, double bounce, helix and volume scattering.
Stanislawa Porzycka +3 more
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Cancellable Biometrics for On-line Signature Recognition
2011With the widespread diffusion of biometrics-based recognition systems, there is an increasing awareness of the risks associated with the use of biometric data. Significant efforts are therefore being dedicated to the design of algorithms and architectures able to secure the biometric characteristics, and to guarantee the necessary privacy to their ...
MAIORANA, EMANUELE +2 more
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Colour recognition using spectral signatures
Pattern Recognition Letters, 1987Abstract Invariant spectral features suitable for colour identification over a range of lighting conditions are investigated. Histograms of the selected features are then used to form a spectral signature of similarly shaped objects enabling recognition.
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2009
The most commonly used protection mechanisms today are based on either what a person possesses (e.g. an ID card) or what the person remembers (like passwords and PIN numbers). However, there is always a risk of passwords being cracked by unauthenticated users and ID cards being stolen, in addition to shortcomings like forgotten passwords and lost ID ...
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The most commonly used protection mechanisms today are based on either what a person possesses (e.g. an ID card) or what the person remembers (like passwords and PIN numbers). However, there is always a risk of passwords being cracked by unauthenticated users and ID cards being stolen, in addition to shortcomings like forgotten passwords and lost ID ...
openaire +1 more source