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Intelligent Biometric Techniques In Fingerprint And Face Recognition Pdf

intelligent biometric techniques in fingerprint and face recognition pdf

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Video-based facial recognition - Thales Facial Recognition Platform

The development of biometric applications, such as facial recognition FR , has recently become important in smart cities. Many scientists and engineers around the world have focused on establishing increasingly robust and accurate algorithms and methods for these types of systems and their applications in everyday life. FR is developing technology with multiple real-time applications. The goal of this paper is to develop a complete FR system using transfer learning in fog computing and cloud computing. The developed system uses deep convolutional neural networks DCNN because of the dominant representation; there are some conditions including occlusions, expressions, illuminations, and pose, which can affect the deep FR performance. DCNN is used to extract relevant facial features.

Its world-class algorithm based on deep neural networks ensures efficiency and accuracy for face detection, tracking, and recognition. FRP can process videos in both live or replay to identify people in a non-intrusive way, without any operator intervention. This module is designed to enhance the efficiency of security operations, by identifying 'persons of interest' in real-time video streams coming from a video management system. This software provides fast and secure access control, by identifying an authorized person and granting him or her access to a building, a place, or other restricted places. This SDK is designed to quickly build a standalone application that needs facial recognition using either photos or videos, including liveness detection features — that runs on many environments including embedded environment.

Generating One Biometric Feature from Another: Faces from Fingerprints

A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services , works by pinpointing and measuring facial features from a given image. While initially a form of computer application , facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics. Because computerized facial recognition involves the measurement of a human's physiological characteristics facial recognition systems are categorised as biometrics. Although the accuracy of facial recognition systems as a biometric technology is lower than iris recognition and fingerprint recognition , it is widely adopted due to its contactless process. Automated facial recognition was pioneered in the s. Their early facial recognition project was dubbed "man-machine" because the coordinates of the facial features in a photograph had to be established by a human before they could be used by the computer for recognition.

Biometrics are body measurements and calculations related to human characteristics. Biometrics authentication or realistic authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance. Biometric identifiers are the distinctive, measurable characteristics used to label and describe individuals. Biometric identifiers are often categorized as physiological versus behavioral characteristics. Physiological characteristics are related to the shape of the body. Behavioral characteristics are related to the pattern of behavior of a person, including but not limited to typing rhythm , gait , keystroke , signature , behavioral profiling, and voice.


Introduction to Fingerprint Recognition, U. Halici, L.C. Jain, and A. Erol Fingerprint Feature Processing Techniques and Poroscopy, A.R. Roddy and J.D. Stosz.


SpeedFace-V5L [TD]

Handbook of Fingerprint Recognition

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It supports both facial and palm verification with large capacity and speedy recognition, as well as improves security performance in all aspects. It is also equipped with ultimate anti-spoofing algorithm for facial recognition against almost all types of fake photos and videos attack. The terminal with body temperature measurement and mask detection SpeedFace-V5L [TD] will be a perfect choice to help reduce the spread of germs and prevent infections straightly at each access point of any premises and public areas such as hospitals, factories, schools, commercial buildings, stations during the outbreak of infectious and contagious diseases with its fast and accurate body temperature measurement and masked individual identification funtions during facial and palm verification. Skip to main content.

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Biometrics

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Intelligent biometric techniques in fingerprint and face recognition

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1 Comments

  1. Naara P.

    23.04.2021 at 13:27
    Reply

    This study presents a new approach based on artificial neural networks for generating one biometric feature faces from another only fingerprints.

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