Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Umut Uludag"'
Publikováno v:
Elektronika ir Elektrotechnika, Vol 26, Iss 1, Pp 46-51 (2020)
This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from speech signals, and the other
Externí odkaz:
https://doaj.org/article/fa5966e2c78141c3a628061378ac035d
Publikováno v:
2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::378a6764d1dd075d6dd6daa18c21b533
https://doi.org/10.23919/at-ap-rasc54737.2022.9814220
https://doi.org/10.23919/at-ap-rasc54737.2022.9814220
Publikováno v:
2021 13th International Conference on Electrical and Electronics Engineering (ELECO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2169e53a886c2de34e420f4615eeef1e
https://doi.org/10.23919/eleco54474.2021.9677835
https://doi.org/10.23919/eleco54474.2021.9677835
Publikováno v:
SPIE Future Sensing Technologies.
In this paper, a fiber optic based acoustic sensing system (FOTAS) is presented. Utilizing such cables as hundreds of acoustic movement detectors has become a novel approach for many security applications. Developed for securing critical infrastructu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5260e44ec56132f8b96c6e89bc2fb8bc
https://doi.org/10.1117/12.2581713
https://doi.org/10.1117/12.2581713
Publikováno v:
TSP
In this paper, the sound arising from the friction of paper and pen is considered as a biometric data for handwritten signature verification. Sounds were recorded with two different mobile phone models with different operating systems. To expand the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e0500f7d6004cbc8f09707bb212f833
https://aperta.ulakbim.gov.tr/record/91241
https://aperta.ulakbim.gov.tr/record/91241
Publikováno v:
Elektronika ir Elektrotechnika, Vol 26, Iss 1, Pp 46-51 (2020)
This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from speech signals, and the other -
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13302cd705b447051673386f2ef76c31
https://hdl.handle.net/20.500.12684/5943
https://hdl.handle.net/20.500.12684/5943
Publikováno v:
Pattern Recognition. 37:1533-1542
A biometric authentication system operates by acquiring biometric data from a user and comparing it against the template data stored in a database in order to identify a person or to verify a claimed identity. Most systems store multiple templates pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fa1af171af3f6251731cd05050563ff
https://doi.org/10.1016/j.patcog.2003.11.012
https://doi.org/10.1016/j.patcog.2003.11.012
Publikováno v:
Proceedings of the IEEE. 92:948-960
In traditional cryptosystems, user authentication is based on possession of secret keys; the method falls apart if the keys are not kept secret (i.e., shared with non-legitimate users). Further, keys can be forgotten, lost, or stolen and, thus, canno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01a7a9f79b06ba38871d2b1f97a2a7dd
https://doi.org/10.1109/jproc.2004.827372
https://doi.org/10.1109/jproc.2004.827372
Autor:
Anil K. Jain, Umut Uludag
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 25:1494-1498
With the wide spread utilization of biometric identification systems, establishing the authenticity of biometric data itself has emerged as an important research issue. The fact that biometric data is not replaceable and is not secret, combined with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::400075f34f4ae6e7619368dc43b65911
https://doi.org/10.1109/tpami.2003.1240122
https://doi.org/10.1109/tpami.2003.1240122
Publikováno v:
Pattern Recognition. 35:2739-2747
This paper introduces two spatial methods in order to embed watermark data into fingerprint images, without corrupting their features. The first method inserts watermark data after feature extraction, thus preventing watermarking of regions used for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1e30eb077ee95f639b5f408b0bf869d
https://doi.org/10.1016/s0031-3203(01)00250-3
https://doi.org/10.1016/s0031-3203(01)00250-3