نتایج جستجو برای: biometric recognition
تعداد نتایج: 258009 فیلتر نتایج به سال:
In October 2020, Google researchers present a promising Deep Learning architecture paradigm for Computer Vision that outperforms the already standard Convolutional Neural Networks (CNNs) on multiple image recognition state-of-the-art datasets: Transformers (ViTs). Based self-attention concept inherited from Natural Language Processing (NLP), this new structure surpasses CNN classification task ...
The paper presents a multimodal approach for biometric authentication, based on multiple classifiers. The proposed solution uses a post-classification biometric fusion method in which the biometric data classifiers outputs are combined in order to improve the overall biometric system performance by decreasing the classification error rates. The paper shows also the biometric recognition task im...
Since the outbreak of Coronavirus Disease 2019 (COVID-19), people are recommended to wear facial masks limit spread virus. Under circumstances, traditional face recognition technologies cannot achieve satisfactory results. In this paper, we propose a algorithm that combines features and deep masked faces. For features, extract Local Binary Pattern (LBP), Scale-Invariant Feature Transform (SIFT)...
Cloud computing is particularly interesting for the area of biometric recognition, where scalability, availability and accessibility are important aspects. In this paper we try to evaluate different strategies for combining existing uni-modal (cloud-based) biometric experts into a multi-biometric cloud-service. We analyze several fusion strategies from the perspective of performance gains, trai...
Soft biometric trait has been used as ancillary information to enhance the recognition accuracy for face, fingerprint, gait, iris, etc. In this paper, we present a new investigation of soft biometric trait to improve the performance of finger vein recognition. We first propose some extraction criteria of soft biometric trait for comprehensively understanding this kind of ancillary information. ...
Aim of this project is to implement a novel authentication scheme to establish Digital Rights Management (DRM) based on multimodal biometric verification and watermarking technique. Security of biometric system is a major concern. An attack on a biometric system can result in loss of privacy, monetary damage and security breach. Biometric system offer better security then existing approaches. T...
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