Results 231 to 240 of about 108,709 (265)
Some of the next articles are maybe not open access.
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
Signature recognition application based on deep learning
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017Nowadays, with the increase of biometric studies, the diversity of biometric data increases and new methods are used in evaluation methods. Traditional biometrics, such as face, fingerprints, handpieces, now leave their place to a variety of biometrics, which contain characteristic information about more people and include movement information. In this
Nurullah Çalik +4 more
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2009
Security is one of the major issues in today’s world and most of us have to deal with some sort of passwords in our daily lives; but, these passwords have some problems of their own. If one picks an easy-to-remember password, then it is most likely that somebody else may guess it.
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Security is one of the major issues in today’s world and most of us have to deal with some sort of passwords in our daily lives; but, these passwords have some problems of their own. If one picks an easy-to-remember password, then it is most likely that somebody else may guess it.
openaire +1 more source
A Hippocampal Signature of Perceptual Learning in Object Recognition
Journal of Cognitive Neuroscience, 2015Abstract Perceptual learning is the improvement in perceptual performance through training or exposure. Here, we used fMRI before and after extensive behavioral training to investigate the effects of perceptual learning on the recognition of objects under challenging viewing conditions.
Matthias Guggenmos +4 more
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Using image signatures for place recognition
Pattern Recognition Letters, 1998Abstract This paper describes and evaluates an image-based place recognition method for mobile robots based on matching image signatures. The method represents an image as a set of arrays of coarse-scale measurements over subimages. We describe several different measurement functions we devised, and show how they can be used conjunctively to improve ...
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An efficient approach for dynamic signature recognition
International Journal of Intelligent Engineering Informatics, 2017Online signature recognition is an accepted biometric technique, because it is less expensive than other biometric techniques. In this paper, an efficient two-stage online signature recognition approach is presented. This approach depends on the initial analyses of global features using Euclidean distance to quickly discard outlier signatures; then ...
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Handwriting and signature recognition
National Conference on Signal and Image Processing Applications, 2009S.M. Kakade, P.P. Bartakke
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A novel spatio-temporal Siamese network for 3D signature recognition
Pattern Recognition Letters, 2021Erik Scheme +2 more
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