Adaptive ECG biometric recognition: a study on re-enrollment methods for QRS signals - researchr publication authors

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Ruggero Donida Labati, Vincenzo Piuri, Roberto Sassi, Fabio Scotti, Gianluca Sforza. Adaptive ECG biometric recognition: a study on re-enrollment methods for QRS signals. In 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, CIBIM 2014, Orlando, FL, USA, December 9-12, 2014. pages 30-37, IEEE, 2014. [doi]

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Ruggero Donida Labati

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