Global ETD Search
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Showing 1 to 16 of 16 for “"Biometric identification"”.
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Iris Biometric Identification Using Artificial Neural Networks
<p>A biometric method is a more secure way of personal identification than passwords. This thesis examines the iris as a personal identifier with the use of neural networks as the classifier. A comparison of different feature extraction methods that include the Fourier transform, discrete cosine …
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From Documents to Data: The Emergence of National Biometric Identification Systems in the 20th and 21st Centuries
… around the world are increasingly incorporating biometrics – measurements of fingerprints, faces, or other parts of the body – into ID cards, passports, databases and other national identification systems for their own citizens. How did biometric identification transform from a technology …
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Extraction of Blood Volume Pulse Morphology from Facial Videos Using an LSTM-Based Temporal Encoder-Decoder Model
… unique heart patterns that could support biometric identification. Our findings show that this approach effectively recovers detailed BVP shapes from video, paving the way for advancements in health monitoring and identity verification technologies.
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An Exploration of the Feasibility of FPGA Implementation of Face Recognition Using Eigenfaces
Biometric identification has been a major force since 1990's. There are different types of approaches for it; one of the most significant approaches is face recognition. Over the past two decades, face recognition techniques have improved significantly, the main focus being the development of …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability …
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Error propagation in pattern recognition systems: Impact of quality on fingerprint categorization
… has recently been explored in the context of biometric identification and authentication systems. The results presented in the literature indicate that incorporating information about quality of the input pattern leads to improved classification performance. The quality itself, however, can be …
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The manual analysis of human biometric identifiers in non-pathological retinal fundus images: An evaluation of presented methodologies and a survey of identifiers within open source databases
… the use of retinal fundus images to enable human identification in 1935, identity biometrics based upon digital representations of the retinal fundus have been proposed as a highly effective modality applied for high level security applications. As complex internal surface, the retina is highly …
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Iris categorization using texton representation and symbolic features
<p>Biometric identification uses individuals' characteristics to attempt to match a sample to a database of existing samples. An increasingly commonly used characteristic is the iris section of the eye, which is valued for its uniqueness among individuals and stability over time. One key concern …
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The development of a biometric keystroke authentication framework to enhance system security
… and implementation of a stand alone web based biometric keystroke authentication framework that creates a user's keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke …
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Avances en el estudio, diseño y evaluación de sistemas interactivos multimodales en escenarios de seguridad biométrica
… del organismo internacional IBG (International Biometric Group). Los análisis de la información obtenida reflejan algunas relaciones interesantes tales como la que se establece entre la facilidad de uso de las tecnologías y la seguridad percibida por los usuarios. 2. Estudio sobre la percepción …
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Human identification using ear biometrics: A complete pipeline from detection to recognition
Biometrics is a critical component of cybersecurity that identifies persons by verifying their behavioral and physical traits. It is the most precise and powerful physical security solution for identity verification presently in use. In biometric-based authentication, each individual can be …
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Identificação e autenticação por análise computacional da geometria da mão.
… of multifactor authentication and multibiometrics related to active security. The goal of this project is to search and develop a subsystem of BioPass called HandPass that focuses on biometric recognition using hand geometric analysis. The HandPass excel for the huge functionality that …
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Development, Evaluation, and Analysis of Complex Eye Movement Biometrics
… solution to the challenges faced by modern biometrics. Consisting of both physical and neurological components, and due to the minute scale, the accurate replication of eye movements outside of a living subject is practically infeasible (if not impossible), providing an inherent level of …
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Using synthetic images to improve iris biometric performance
… technology has allowed for a rise in the use of biometric markers to automatically track the identity of individuals. Iris biometrics has emerged as one of the most reliable and accurate systems when dealing with cooperating subjects, however, challenges arise when attempting to minimize the …
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Investigations into the role of entropy-selected RF-DNA fingerprint features on ID-verification performance in the presence of rogue emitters
… against sophisticated threats. Specific Emitter Identification (SEI) is a crucial security approach for authenticating wireless emitters. This work integrates RF-DNA fingerprinting, a specialized form of SEI, with Deep Learning (DL) techniques to authenticate the identity of authorized emitters. …