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Emmanuel Todd
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Hi. we have scheduled demo class for ODI / Essbase/ HFM/ 6 Aug at 7 00 am IST. for more information like course content and fee details you can write to us at
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International Center for Biometric Research
The inherent differences between secret-based authentication (such as passwords and PINs) and biometric authentication have left gaps in the credibility of biometrics. These gaps are due, in large part, to the inability to adequately cross-compare the two types of authentication. This paper provides a comparison between the two types of authentication by equating biometric entropy in the same way entropy of secrets are represented. Similar to the method used by Ratha, Connell, and Bolle [1], the x and y dimensions of the fingerprints were examined to determine all possible locations of minutiae. These locations were then examined based on the observed probability of minutiae occurring in each of the designated locations. The results of this work show statistically significant differences in the frequencies and probabilities of occurrence for minutiae location, type, and angle, across all possible minutiae locations. These components were applied to Shannon’s Information Theory [2] to determine the entropy of fingerprint biometrics, which was estimated to be equivalent to an 8.3-character, randomly chosen password
Entropy of Fingerprints
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International Center for Biometric Research
The human signature provides a natural and publically-accepted legally-admissible method for providing authentication to a process. Automatic biometric signature systems assess both the drawn image and the temporal aspects of signature construction, providing enhanced verification rates over and above conventional outcome assessment. To enable the capture of these constructional data requires the use of specialist ‘tablet’ devices. In this paper we explore the enrolment performance using a range of common signature capture devices and investigate the reasons behind user preference. The results show that writing feedback and familiarity with conventional ‘paper and pen’ donation configurations are the primary motivation for user preference. These results inform the choice of signature device from both technical performance and user acceptance viewpoints.
An Investigation into Biometric Signature Capture Device Performance and User...
An Investigation into Biometric Signature Capture Device Performance and User...
International Center for Biometric Research
Recomendados
Emmanuel Todd
Emmanuel Todd
Tompouce
Hi. we have scheduled demo class for ODI / Essbase/ HFM/ 6 Aug at 7 00 am IST. for more information like course content and fee details you can write to us at
Training calender aug 11
Training calender aug 11
Business Intelligence Solution Providers
Kpds uds-kelimeleri
Kpds uds-kelimeleri
zeynep_zyn22
English characterisation (Adeline)
English characterisation (Adeline)
Erica115
2 avaliação das atividades s.martinho
2 avaliação das atividades s.martinho
Teresa Costa
Biometric and usability
Biometric and usability
International Center for Biometric Research
The inherent differences between secret-based authentication (such as passwords and PINs) and biometric authentication have left gaps in the credibility of biometrics. These gaps are due, in large part, to the inability to adequately cross-compare the two types of authentication. This paper provides a comparison between the two types of authentication by equating biometric entropy in the same way entropy of secrets are represented. Similar to the method used by Ratha, Connell, and Bolle [1], the x and y dimensions of the fingerprints were examined to determine all possible locations of minutiae. These locations were then examined based on the observed probability of minutiae occurring in each of the designated locations. The results of this work show statistically significant differences in the frequencies and probabilities of occurrence for minutiae location, type, and angle, across all possible minutiae locations. These components were applied to Shannon’s Information Theory [2] to determine the entropy of fingerprint biometrics, which was estimated to be equivalent to an 8.3-character, randomly chosen password
Entropy of Fingerprints
Entropy of Fingerprints
International Center for Biometric Research
The human signature provides a natural and publically-accepted legally-admissible method for providing authentication to a process. Automatic biometric signature systems assess both the drawn image and the temporal aspects of signature construction, providing enhanced verification rates over and above conventional outcome assessment. To enable the capture of these constructional data requires the use of specialist ‘tablet’ devices. In this paper we explore the enrolment performance using a range of common signature capture devices and investigate the reasons behind user preference. The results show that writing feedback and familiarity with conventional ‘paper and pen’ donation configurations are the primary motivation for user preference. These results inform the choice of signature device from both technical performance and user acceptance viewpoints.
An Investigation into Biometric Signature Capture Device Performance and User...
An Investigation into Biometric Signature Capture Device Performance and User...
International Center for Biometric Research
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