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Signature recognition

About: Signature recognition is a research topic. Over the lifetime, 2138 publications have been published within this topic receiving 37605 citations.


Papers
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Proceedings ArticleDOI
22 Jul 2010
TL;DR: The experimental results revealed that the method presented in this paper for vehicle acoustic signal signature recognition is valid, and the recognition accuracy is 92.1 percent on average.
Abstract: A method of vehicle acoustic signal signature recognition based on Karhunen-Loeve transform is proposed. First, the vehicle acoustic signal is preprocessed, and through Karhunen-Loeve transform, the signature of the signal is obtained, and the Eigen-vehicle is built. The sample to be recognized is projected onto the Eigen-vehicle subspace, and the distance between the sample signature and the Eigen-vehicle is calculated. This distance is then used as a basis for signature recognition. The experimental results revealed that the method presented in this paper for vehicle acoustic signal signature recognition is valid, and the recognition accuracy is 92.1 percent on average.

1 citations

01 Jan 2014
TL;DR: New approach for biometric template feature extraction and template matching using combination of ISEF edge detection and contour based biometric recognition algorithm is described.
Abstract: In present world, biometric base authentication system is used by many agencies for security purpose. Use of important characteristics of biometric based authentication system become so popular because every human presents unique biometric characteristics and biometric recognition done automatically. Biometric authentication system is divided into four steps like biometric template acquisition using sensor, feature extraction, template matching and decision about authentication. In this paper, we are described new approach for biometric template feature extraction and template matching using combination of ISEF edge detection and contour based biometric recognition algorithm. We have explored infinite symmetric exponential filter properties of ISEF algorithm on iris biometric template which is applicable on particular edges points of template. This proposed approach has been applicable on fingerprint, iris, and face biometric template of human. This proposed approach has applied on iris biometric template because of less algorithm is available in literature for iris biometric recognition because of popularity of iris biometric template used for human identification.

1 citations

Journal Article
TL;DR: The absolute resovable signature selection algorithm under the multi-class mode for target recognition is put forward and the proper range for m,n,q values during the image digitalization processing is given, based on the signature selection in two class mode.
Abstract: Signature selection is very important in the target recognition,especially for the wavelet moment invariants which have three parameters(m,n,q).The absolute resovable signature selection algorithm under the multi-class mode for target recognition is put forward and the proper range for m,n,q values during the image digitalization processing is given,based on the signature selection in two class mode.The experiments show that this method can be successfully used in the recognition of multi-class targets,whether the multi-class targets are different,similar or mixed types.

1 citations

Proceedings ArticleDOI
01 Sep 2017
TL;DR: This work introduces the use of a specific electric signature based on harmonic response of power converters in order to be able to get information in a non-invasive manner through data mining methods.
Abstract: The future of distribution networks tends more and more to include computational power, embedded intelligence and smart metering on the high voltage level as well as the low voltage micro-grids. Several hardware solutions were developed to implement the so-called smart grids with measurement devices delivering data about the state of networks on various levels. This work introduces the use of a specific electric signature based on harmonic response of power converters in order to be able to get information in a non-invasive manner. A simulated residential grid with several loads and PV converters has been run real-time with 1 μ8 sampled data, for being able to retrieve information through data mining methods.

1 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202310
202219
202122
202028
201925
201832