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Match score-level fusion

A Robust Multimodal Biometric System VIA Multiple Svms

A Robust Multimodal Biometric System VIA Multiple Svms

... feature level fusion provide better result than match score or decision level ...feature level fusion is quite tough as compared to ...feature level fusion, ...

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Multimodal Biometric System:- Fusion Of Face And Fingerprint Biometrics At Match Score Fusion Level

Multimodal Biometric System:- Fusion Of Face And Fingerprint Biometrics At Match Score Fusion Level

... to match each key point was to identify its nearest neighbour in the key point’s database which is the key point with minimum hamming distance from the invariant descriptor ...

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Intelligent query by humming system based on score level fusion of multiple classifiers

Intelligent query by humming system based on score level fusion of multiple classifiers

... background noise. To overcome these problems, the note-based method was introduced, where the pitch sequence is segmented into (musical) notes [2]. Since the notes have characteristics of discrete values (i.e., “ do ” , ...

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Intelligent Biometric Information Management

Intelligent Biometric Information Management

... data fusion, in particular. Recent work related to data fusion [3,4] is concerned am- ong others with cross-device matching and device intero- perability, and quality dependent and cost-sensitive ...

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MAXIMIZED RESULT RATE JOIN ALGORITHM

MAXIMIZED RESULT RATE JOIN ALGORITHM

... to match the best features (appropriate features) owing the optimal solution of the affected part of the ...tested. Fusion method is applied and one of feature level fusion completes the joint ...

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A Methodology for Sketch based Image Retrieval based on Score level Fusion

A Methodology for Sketch based Image Retrieval based on Score level Fusion

... Different matching scores got by different classifiers can be fused to match at this level. For the database images (training set) all the features are calculated using HOG and Gaussian distribution. Now ...

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Optimal Score Level Fusion using Modalities Reliability and Separability Measures

Optimal Score Level Fusion using Modalities Reliability and Separability Measures

... the match score level using functional link network ...different score normalization techniques on the performance of multimodal biometric system ...multimodal fusion using face and ...

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Score Level Fusion Based Approach for Water Leak Detection in Infrared Images

Score Level Fusion Based Approach for Water Leak Detection in Infrared Images

... beginning to get the contours of the closure. Ferrari[21] at the edges of the object detection offers the best of contemporary methods used in the most advanced edge detection method. After the closure of the contours of ...

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Sum Rule Based Matching Score Level Fusion of Fingerprint and Iris Images for Multimodal Biometrics Identification

Sum Rule Based Matching Score Level Fusion of Fingerprint and Iris Images for Multimodal Biometrics Identification

... Abstract – Basic aim of a biometric system is automatically discriminate between subjects as well as protects data. It also protects resources access from unauthorized users. In biometric system physical or behavioral ...

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Score Level Fusion for Fingerprint, Iris and Face Biometrics

Score Level Fusion for Fingerprint, Iris and Face Biometrics

... In this work three unimodal biometric systems are given" fingerprint, iris and face", to determine the accuracy of the systems. Two measures are selected: false accept rate (FAR) and false reject rate (FRR) which ...

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One-class Classification: An Approach to Handle Class Imbalance in Multimodal Biometric Authentication

One-class Classification: An Approach to Handle Class Imbalance in Multimodal Biometric Authentication

... Most score level fusion techniques, including also the above proposals, are specifically designed for a complete match score vector and thus, cannot be invoked otherwise ...incomplete ...

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On combining multi normalization and ancillary measures for the optimal score level fusion of fingerprint and voice biometrics

On combining multi normalization and ancillary measures for the optimal score level fusion of fingerprint and voice biometrics

... this fusion technique is to combine the information from fingerprint and voice classifiers, such that, the resulting performance is greater than or equal to the performance of the best individual ...‘catastrophic ...

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Cross match-CHMM fusion for speaker adaptation of voice biometric

Cross match-CHMM fusion for speaker adaptation of voice biometric

... of fusion - score, feature, decision and sample level (Kumar et ...In score fusion method, individual scores are fused into a single ...matching-score fusion is the most ...

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BIOMETRIC RECOGNITION USING MULTIMODAL TECHNOLOGY

BIOMETRIC RECOGNITION USING MULTIMODAL TECHNOLOGY

... Various fusion levels and scenarios are possible in multimodal systems. Fusion at the match score level is the most popular due to the ease in accessing and consolidating matching ...

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Fingerprint Verification System for Cross-sensor Matching based on LBP and SIFT Descriptors and Score level Fusion

Fingerprint Verification System for Cross-sensor Matching based on LBP and SIFT Descriptors and Score level Fusion

... matching score between two fingerprints is computed using the Euclidean ...false match. The final score is calculated by aggregating the distances of the correctly matched ...

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Review on Fusion Algorithms for Multimodal Authentication System

Review on Fusion Algorithms for Multimodal Authentication System

... The match scores of different persons are sufficient enough to recognise them and differentiate them from each ...The match scores do not require higher storage capacity as well as higher computational ...

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Cross match CHMM fusion for speaker adaptation of voice biometric

Cross match CHMM fusion for speaker adaptation of voice biometric

... of fusion - score, feature, decision and sample level (Kumar et ...In score fusion method, individual scores are fused into a single ...matching-score fusion is the most ...

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Performance Evaluation of Image Fusion Based on Discrete Cosine Transform

Performance Evaluation of Image Fusion Based on Discrete Cosine Transform

... image fusion techniques are shown in Fig-4 to ...image fusion algorithms have not performed ...Image fusion by contrast measure (DCTcm) performed well compare to the previous ...superior ...

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IDENTIFICATION OF FACE AND FINGERPRINT USING SERIAL MULTIMODAL BIOMETRIC TECHNIQUE

IDENTIFICATION OF FACE AND FINGERPRINT USING SERIAL MULTIMODAL BIOMETRIC TECHNIQUE

... N. Geethanjali et al. [07] proposed a multimodal biometrics approach for ATM system with the help of fingerprint, iris and face. In this approach feature extraction level fusion is used. Minutiae ...

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If Sentences Could See: Investigating Visual Information for Semantic Textual Similarity

If Sentences Could See: Investigating Visual Information for Semantic Textual Similarity

... iii) Selective inclusion of visual information. The models that selectively in- clude visual information do not consistently improve the results of the direct multi- modal models on MSRV ID . Since the impact of the ...

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