A comprehensive overview of biometric fusion
The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …
fingerprints only) is often stymied by various factors such as poor data quality or limited …
From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
PalmNet: Gabor-PCA convolutional networks for touchless palmprint recognition
Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …
through less-constrained and highly usable procedures that do not require the contact of the …
Security evaluation of pattern classifiers under attack
Pattern classification systems are commonly used in adversarial applications, like biometric
authentication, network intrusion detection, and spam filtering, in which data can be …
authentication, network intrusion detection, and spam filtering, in which data can be …
Human identification using finger images
This paper presents a new approach to improve the performance of finger-vein identification
systems presented in the literature. The proposed system simultaneously acquires the finger …
systems presented in the literature. The proposed system simultaneously acquires the finger …
Query-adaptive late fusion for image search and person re-identification
Feature fusion has been proven effective [31, 32] in image search. Typically, it is assumed
that the to-be-fused heterogeneous features work well by themselves for the query …
that the to-be-fused heterogeneous features work well by themselves for the query …
Multi-stream multi-class fusion of deep networks for video classification
This paper studies deep network architectures to address the problem of video classification.
A multi-stream framework is proposed to fully utilize the rich multimodal information in …
A multi-stream framework is proposed to fully utilize the rich multimodal information in …
Comparison and combination of iris matchers for reliable personal authentication
The personal identification approaches using iris images are receiving increasing attention
in the biometrics literature. Several methods have been presented in the literature and those …
in the biometrics literature. Several methods have been presented in the literature and those …
Joint sparse representation for robust multimodal biometrics recognition
Traditional biometric recognition systems rely on a single biometric signature for
authentication. While the advantage of using multiple sources of information for establishing …
authentication. While the advantage of using multiple sources of information for establishing …
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence
Internet of Things (IoT) has given rise to the fourth industrial revolution (Industrie 4.0), and it
brings great benefits by connecting people, processes and data. However, cybersecurity has …
brings great benefits by connecting people, processes and data. However, cybersecurity has …