[PDF] Top 20 BIOMETRIC RECOGNITION USING MULTIMODAL TECHNOLOGY

... Biometric is expressed as the science of identifying an individual on the basis of their physiological or behavioral traits. It seems to achieve acceptance as a rightful method for obtaining an individual‘s ... See full document

... The constituent based approaches are based on relationship between extracting structural facial features, such as eyes, mouth, nose, etc. The constituent approaches deal with local information instead of global ... See full document

... In this section, we present the details of the experiments conducted to represent the effectiveness of the proposed method over three different biometric traits like face, finger and knuckle databases. The ... See full document

... voice recognition is not a biometric technology since it does not confirm individual ...use, recognition) but requires a cooperative and patient ...text-independent recognition, ... See full document

... face recognition systems and degrade the performances of face recognition ...face recognition system This paper proposes a new Multimodal Biometric approach using principle ... See full document

... ear using four selected feature extraction algorithms: Principal Component Analysis (PCA), Speeded Up Robust Features (SURF), Geometric feature extraction and Gabor wavelet based feature extraction techniques in ... See full document

... a multimodal biometrics system in which 2D gabor filter is used to extract ...The recognition rate is ...for multimodal biometric identification system which can be adapted for any type of ... See full document

... Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn and Kevin W. Bowyer[3], proposed a novel approach to address the challenges involved in automatic matching of faces across plastic surgery variations. In the proposed ... See full document

... performance. Biometric based authentication and recognition, the science of using physical or behavioral characteristic for identity verification is becoming a security principal in many ...and ... See full document

... feature recognition and behavior feature recognition, Physiological characteristics include fingerprint, face, vein, palm, iris, DNA and so on; Behavioral features include gait, signature, keystrokes, and ... See full document

... whereas the foreground regions have a very high variance. Hence, a method based on variance Thresholding can be used to perform the segmentation. Segmentation followed by Normalization step in this process range of pixel ... See full document

... The multimodal database used in our experiments was constructed by merging two separate databases of 200 users ...acquired using a CCD camera (640 X ...obtained using a Digital Biometrics sensor (512 ... See full document

... every biometric attribute has its own robustness and limitations and the miscellany generally rely on the ...improved biometric attribute has basically few merits namely strength, uniqueness, availability, ... See full document

... Personal Recognition Using Rank-Level Combination Of Multiple Biometrics ...Combination Using Borda Count, Logistic Regression/Weighted Borda Count, Highest Rank Method, And Bucklin Method Are ...In ... See full document

... Abstract: Multimodal biometric systems is the consolidated multiple biometric sources, which enable the recognition performance better than the single biometric modality ...a ... See full document

... here.) Using the NIR range likewise empowers the obstructing of corneal specular reflections from a brilliant surrounding condition, by permitting just those NIR wavelengths from the limited band illuminator once ... See full document

... is proposed for face representation and recognition. In this new technique, an assembled matrix distance (AMD) metric is used to measure the distance between two 2DLDA feature matrices. A face recognition ... See full document

... similarity between two traits. The earlier works [1], [2] and [3] are sometimes ineffective in terms of getting the matches as they are unimodal system. So, in order to get more precise results Multimodal System ... See full document

... authenticated. Biometric features are unique to each individual and remain unaltered during a person’s ...a multimodal biometric recognition system integrating iris, face and fingerprint is ... See full document

... The reliability of any automatic biometric system strongly relies on the precision obtained in the feature extraction process. A number of factors damage the correct matching of fingerprints. Among them, poor ... See full document