Results 251 to 260 of about 1,897,899 (303)

Vector signature for face recognition

2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2015
In 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
openaire   +1 more source

Odor signatures and kin recognition

Physiology & Behavior, 1985
The 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
openaire   +2 more sources

CHARACTER RECOGNITION BY SIGNATURE APPROXIMATION

International Journal of Pattern Recognition and Artificial Intelligence, 1994
This 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, Iraklis M. Spiliotis, Anastasios Zoumadakis   +2 more
openaire   +1 more source

On the potential of glottal signatures for speaker recognition

Interspeech 2010, 2010
Most 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
openaire   +2 more sources

Extensions of Invariant Signatures for Object Recognition

Journal of Mathematical Imaging and Vision, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel J. Hoff, Peter J. Olver
openaire   +3 more sources

Recognition of human signatures

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2002
We 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
openaire   +1 more source

An Inclusive Survey on Signature Recognition System

2021
Attestation 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, Yerru Nanda Krishna Arun, Chikkala Nikhil, Suri Koushmitha, A. Chaithanya   +4 more
openaire   +1 more source

Signature recognition through spectral analysis

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Features 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, David Kamins, Kuno Peter Zimmermann   +2 more
openaire   +2 more sources

Signature Recognition Using Machine Learning

2020 8th International Symposium on Digital Forensics and Security (ISDFS), 2020
Signatures 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
openaire   +2 more sources

Signature recognition using vector quantization

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
Handwritten Signatures are one of the widely used biometric traits for document authentication as well as human authorization. Various techniques have been implemented for Automatic Signature Recognition. In this paper we discuss the application of vector quantization to the problem of signature recognition.
H. B. Kekre, V. A. Bharadi, Tanuja K. Sarode   +2 more
openaire   +2 more sources