Results 211 to 220 of about 108,709 (265)
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2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
In this paper, online signature recognition is examined by using K Nearest Neighborhood (KNN) method. The signatures are collected by an Android application which can extract the dynamic and spatial information of the signatures. In this frame, a signature database is consisting of a total of 120 signatures taken from 12 different person.
Kemal Gurkan Toker +2 more
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In this paper, online signature recognition is examined by using K Nearest Neighborhood (KNN) method. The signatures are collected by an Android application which can extract the dynamic and spatial information of the signatures. In this frame, a signature database is consisting of a total of 120 signatures taken from 12 different person.
Kemal Gurkan Toker +2 more
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Extensions of Invariant Signatures for Object Recognition
Journal of Mathematical Imaging and Vision, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peter Olver
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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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Vector signature for face recognition
2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2015In this paper, we proposed a vector signature scheme for face recognition. Using the signature, both the database size and communication bandwidth can be reduced. And the privacy of the face image is also improved. Some experimental implementation shows the potential of the new proposal.
Xiaochuan Lin, Ruizhong Wei
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CHARACTER RECOGNITION BY SIGNATURE APPROXIMATION
International Journal of Pattern Recognition and Artificial Intelligence, 1994This paper describes a new method for character recognition of typewritten text. The proposed approach is based on the approximation of character signatures by rational functions. Specifically, after the preprocessing operation, a separation procedure is applied to each character and its one-dimensional signatures are derived.
Nikos Papamarkos +2 more
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On the potential of glottal signatures for speaker recognition
Interspeech 2010, 2010Most of current speaker recognition systems are based on features extracted from the magnitude spectrum of speech. However the excitation signal produced by the glottis is expected to convey complementary relevant information about the speaker identity.
Drugman, Thomas, Dutoit, Thierry
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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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An Inclusive Survey on Signature Recognition System
2021Attestation plays a crucial role to manage surveillance. So, need for authentication increases briskly. Because of the latest improvements in technology in a time where data rules everything, there is a high priority for security systems based on different biometric traits. Signature is one of the most extensively used biometric traits for verification
Loganathan Agilandeeswari +4 more
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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.
Chan F. Lam +2 more
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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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