[PDF] Top 20 Complementary feature level data fusion for biometric authentication using neural networks
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Complementary feature level data fusion for biometric authentication using neural networks
... different data fusion strategies for verification purposes using facial and fingerprint ...the fusion of confidence scores, which required explicit estimation of genuine and impostor score ... See full document
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User Authentication Incorporating Feature Level Data Fusion of Multiple Biometric Characteristics
... uni-modal biometric authentication sys- tems provide an accurate alternative to traditional password-based au- thentication ...`noisy' data from raw data improved ac- curacy for this ... See full document
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Dimension Reduction of Hand and Face Feature Level Fusion in Multimodal Biometric Authentication
... Convolution Neural Networks technique is applied to extract the fine level information and further adapt the system for domain specific and transformation technique is used to obtain the generic face ... See full document
8
Multimodal Biometric System: A Feature Level Fusion Approach
... In feature-level fusion, feature sets from multiple biometric algorithms are combined into a single feature ...of feature- level fusion is detection of ... See full document
5
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... the feature level before or after feature transformation is an important ...the feature space using linear or non-linear methods (Deshmukh, Pawar, & Joshi, 2013; Rattani et ... See full document
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K-MEANS BASED MULTIMODAL BIOMETRIC AUTHENTICATION USING FINGERPRINT AND FINGER KNUCKLE PRINT WITH FEATURE LEVEL FUSION
... Most biometric systems that are presently used in real time applications typically use a single biometric characteristic to authenticate the ...unimodal biometric systems are noise in the sensed ... See full document
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A SCHEME FOR TEMPLATE SECURITY AT FEATURE FUSION LEVEL IN MULTIMODAL BIOMETRIC SYSTEM
... into feature transformation and biomet- ric ...storing biometric templates in secured way. It also provides a robust biometric authentication for all genuine users of the system and protects ... See full document
8
An Algorithm for Feature Level Fusion in Multimodal Biometric System
... multimodal biometric traits for achieving user ...fingerprint data sets over a spectrum of normalization and fusion techniques and the results of this study shows multimodal biometric systems ... See full document
5
Security Enhanced Multi-Factor Biometric Authentication System Using FFF and KSVM
... multimodal biometric system by combining finger knuckle and finger vein using feature level fusion ...optimization. Biometric characteristics (Eyes, Finger vein, Finger Knuckle, ... See full document
8
FEATURE LEVEL FUSION BASED MULTI-BIOMETRIC CRYPTOSYSTEM USING FUZZY VAULT FOR WIRED NETWORK
... User authentication is necessary these days to prevent the unauthorized access by the malicious ...Multi- biometric systems accumulate evidence from more than one biometric trait ...Multi- ... See full document
8
Efficient and Robust Multimodal Biometric System for Feature Level Fusion (Speech and Signature)
... the authentication techniques that rely on measurable physiological and individual characteristics that can be automatically ...verified. Biometric-based solutions are able to provide for confidential ... See full document
6
Neural Network Based Normalized Fusion Approaches for Optimized Multimodal Biometric Authentication Algorithm
... sensed data, intra-class variations, and ...unimodal biometric makes the system more efficient, robust and ...unimodal biometric traits for ac- quiring high level of security, accuracy and ... See full document
8
User Authentication Incorporating Feature Level Data Fusion of Multiple Biometric Characteristics
... However, fusion of data at the feature level is a more dicult task than fusion at the other two ...decision level fusion, `accept' or `reject' results from the dierent ... See full document
529
Multi Biostatistics Scheme at Security Purpose by Using SDS Algorithm
... presented biometric authentication system based on iris and face; they applied 2-D discrete wavelet transform to extract the feature sets from iris and ...joint feature vector from these ... See full document
9
New Distributed Data Fusion Using Pregel For Large Text Dataset
... Multi-sensor data fusion (MSDF) is defined as the process of combining information from multiple sources to produce the most precise and complete unified data about an entity, activity or event ... See full document
9
A multimodal biometric recognition system based on decision level fusion for user authentication
... traditional authentication methods like passwords, smart cards ...modal biometric there is a chance of misuse and the accuracy is also less, hence to achieve good authentication accuracy and to ... See full document
10
The Application of Neural Network in Multiple Object Tracking
... of neural networks in multiple object tracking is the main reasons are as ...Firstly, neural networks usually need a huge number of training data to learn the large parameters, but we ... See full document
7
Feature Level Fusion in Multimodal Biometric Authentication System
... evaluated using common performance metrics, FAR, FRR (False Rejection ...our feature level fused system in comparison with unimodal systems of ear and ...that fusion of these two ... See full document
5
Feature selection of microarray data using genetic algorithms and artificial neural networks
... An interesting note is that the isolated features included more features that were closely correlated to high ALL expression than AML expression. This could account for some of the increased performance of the classifier ... See full document
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A FUSION BASED AUTHENTICATION TECHNIQUE
... This authentication technique is a fusion of four different authentication schemes that uses user’s biometric modality, user behavior, and user physiological ...characteristics.The ... See full document
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