68-75ĭey N, Nandi B, Dey M, Biswas D, Das A, Chaudhuri SS (2013) BioHash code generation from electrocardiogram features. In: International Symposium on Visual Computing, Springer, pp. Performance anchored score normalization for multi-biometric fusion. Inf Process Lett 93(1):1–5ĭa Silva HP, Lourenço A, Fred A, Raposo N, Aires-de Sousa M (2014) Check your biosignals here: A new dataset for off-the-person ECG biometrics. Pattern Recogn 35(12):2727–2738Ĭonnie T, Teoh A, Goh M, Ngo D (2005) Palmhashing: a novel approach for cancelable biometrics. Springer, Germany, pp 242–252īolle RM, Connell JH, Ratha NK (2002) Biometric perils and patches. In: Boyd C, Gonzalez Nieto JM (eds) Australasian Conference on Information Security and Privacy. Academic Press, New YorkĪng R, Safavi-Naini R, McAven LF (2005) Cancelable key-based fingerprint templates. After applying the two cancelable techniques on three public available ECG databases, experimental results show that the proposed system performs better regarding authentication and outperforms state-of-the-art techniques considered.Īlbert A (1972) Regression and the moore-penrose pseudoinverse. In the authentication stage, Feed-Forward Neural Network (FFNN) is used to verify individuals. While the matrix operation technique is applied on the ECG feature matrix to produce a transformed template which is irreversible to the original features of the ECG. The protected feature vector (Bio-Hashed code) is generated from the inner product between the ECG features matrix and tokenize number matrix. The improved Bio-Hash technique solves the problem of accuracy loss, which is the main drawback of basic Bio-Hash technique. The first one is an improved Bio-Hashing and the second one is matrix operation technique. In this paper, we have applied two cancelable biometric techniques for developing a human authentication system based on ECG signals. However, this problem is still open and to the best of our knowledge, few previous studies have proposed a complete authentic system using the cancelable biometric techniques based on electrocardiogram (ECG).
Biometrics are widely deployed in various security systems however, they have drawbacks in the form of leakage or stealing, therefore numerous solutions have been proposed to secure biometric template such as cancelable biometric, which is one of the possible solutions for canceling and securing biometric template.