An empirical comparison of individual machine learning techniques in signature and fingerprint classification
M Abreu, M Fairhurst - … : First European Workshop, BIOID 2008, Roskilde …, 2008 - Springer
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
[PDF][PDF] An Empirical Comparison Of Individual Machine Learning Techniques In Signature And Fingerprint Classification
M Abreu, M Fairhurst - Biometrics and Identity Management, 2008 - Citeseer
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
[PDF][PDF] An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
M Abreu, M Fairhurst - Biometrics and Identity Management, 2008 - ndl.ethernet.edu.et
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
[PDF][PDF] An Empirical Comparison Of Individual Machine Learning Techniques In Signature And Fingerprint Classification
M Abreu, M Fairhurst - academia.edu
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
M Abreu, M Fairhurst - Biometrics and Identity Management - infona.pl
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
[PDF][PDF] An Empirical Comparison Of Individual Machine Learning Techniques In Signature And Fingerprint Classification
M Abreu, M Fairhurst - researchgate.net
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
M Abreu, M Fairhurst - … : First European Workshop, BIOID 2008, Roskilde …, 2008 - dl.acm.org
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
M Abreu, M Fairhurst - … , BIOID 2008, Roskilde, Denmark, May 7-9 …, 2008 - books.google.com
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
M Abreu, M Fairhurst - Biometrics and Identity Management - Springer
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …
An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification
M da Costa-Abreu, M Fairhurst - Biometrics and Identity Management, 2008 - kar.kent.ac.uk
This paper describes an empirical study to investigate the performance of a wide range of
classifiers deployed in applications to classify biometric data. The study specifically reports …
classifiers deployed in applications to classify biometric data. The study specifically reports …