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Signature Recognition for Nuclear Detonations
Optica Acta: International Journal of Optics, 1969Experiments have been performed on the recognition of nuclear detections by using coherent optical data-processing systems. The data, E-field signals recorded with a 10 khz bandwidth, were available from only ten events, all airdrops. Since the signals were of an unknown form, they were classified into sub-groups by using a cross-correlation technique.
A, Van der Lugt, R H, Mitchel
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Odor signatures and kin recognition
Physiology & Behavior, 1985The basis of olfactory signatures mediating human kin recognition was investigated in two experiments. The odors of mothers and offspring were correctly matched (by subjects unfamiliar with the stimulus individuals) at a greater than chance frequency. In contrast, subjects were not able reliably to match the odors of husbands and wives.
R H, Porter, J M, Cernoch, R D, Balogh
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Signature Recognition Using Machine Learning
2020 8th International Symposium on Digital Forensics and Security (ISDFS), 2020Signatures are popularly used as a method of personal identification and confirmation. Many certificates such as bank checks and legal activities need signature verification. Verifying the signature of a large number of documents is a very difficult and time-consuming task.
Shalaw Mshir, Mehmet Kaya
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Recognition of human signatures
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2002We used a digitizing tablet to collect handwritten signatures, with five quantities recorded, namely horizontal and vertical pen tip position, pen tip pressure, and pen azimuth and altitude angles. We divided the signature features into visible ones, namely those related to an "image on the paper" and hidden ones, i.e.
A. Pacut, A. Czajka
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SIFR-Signature Fraud Recognition
2018 International Conference on Networking, Embedded and Wireless Systems (ICNEWS), 2018Signatures are a widely used biometric identification and authentication method. The digital world mandates the use of automatic signature verification. This paper presents an Offline Signature Verification system, where a Convolutional neural network is made to learn appropriate features and classify the signature based on the user as well as its ...
Suhas G +3 more
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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
YILDIRIM, Tülay +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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Signature recognition through spectral analysis
ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Features such as shape, motion and pressure, minutiae details and timing, and transformation methods such as Hadamard and Walsh have been used in signature recognition with various degrees of success. One of the better studies was done by Sato and Kogure using nonlinear warping function.
null Chan Lam, D. Kamins, K. Zimmermann
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Off-Line Signature Recognition
2005The 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 ...
Indrani Chakravarty +4 more
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