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In this paper, we propose to present a novel numerical information fusion method at the feature level. This method is based on the possibility theory using the Beta function and the type1 fuzzy theory. In this method, we proceed to estimate the possibility distribution of the numerical features by using the Beta function. So, we constitute the Beta-possbilistic knowledge base. Then, this Beta-possibilistic...
Information fusion is a research domain that strives to establish theories that exploit and analyze the data retrieved from multiple sources. Generally, these fusion theories try to combine these data for a classification task and to make the decision efficiently. The possibility theory is one of the most known in the information fusion domain. So, the possibility distribution estimation step represents...
In this paper, we propose a novel biometric modalities fusion method based on possibility theory. We have integrated this method in a bimodal biometric system. This biometric system is based on the fingerprint and the iris modalities to identify a person. The process of this method consists of two main phases: the features selection phase, and the fusion phase. In the first phase, we select the most...
A fingerprint feature extraction step represents the success key of the fingerprint verification process. In a matching step, the good processing of those features would generate a measure that reflects more accurately the similarity degree between the input fingerprint and the template. In our study, we propose a novel fingerprint feature extraction method based on the Curvelet transform to reduce...
The performance of the iris verification process highly depends on its extractor of iris features. So, to reduce the dimensionality of the iris image and improve the recognition rate, an iris features extraction method based on curvelet transform is proposed and presented in this paper. Thus, our paper focuses on presenting of our curvelet-based iris features extraction method. This method consists...
Iris recognition is a proven, accurate means to identify people. Iris is a part of an eye image. To be possible the uses of this modality, it's indispensable to be detected and segmented. In this paper, we present our both methods: eye image preprocessing by method of Bias-Corrected Fuzzy C-Mean (BCFCM) and iris segmentation based on the active contours “Snake”. The performance of iris recognition...
The performance of the fingerprint identification process highly depends on its extractor of fingerprint features. So, to reduce the dimensionality of the fingerprint image and improve the identification rate, a fingerprint features extraction method based on Curvelet transform is proposed and presented in this paper. Thus, our paper focuses on presenting of our Curvelet-based fingerprint features...
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