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Single modality biometric recognition system is often not able to meet the desired system performance requirements. Several studies have shown that multimodal biometric identification systems improve the recognition accuracy and allow performances that are required for many security applications. In this paper, we have developed a multimodal biometric recognition system which combines two modalities:...
In this paper, we propose a multimodal biometrics system that combines fingerprint and palmprint features to overcome several limitations of unimodal biometrics-such as the inability to tolerate noise, distorted data and etc.-and thus able to improve the performance of biometrics for personal verification. The quality of fingerprint and palmprint images are first enhanced using a series of pre-processing...
In this paper, we propose an information fusion-based palmprint recognition method. Firstly, three different kinds of palmprint features including texture, principal line and appearance features are extracted using 2D Gabor phase encoding, the modified finite Radon transform (MFRAT) and orthogonal discriminant locality preserving projections (ODLPP), respectively. Then, Hamming distance, pixel-to-area...
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