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Titlebook: Breakthroughs in Digital Biometrics and Forensics; Kevin Daimi,Guillermo Francia III,Luis Hernández E Book 2022 The Editor(s) (if applicab

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发表于 2025-3-21 19:46:09 | 显示全部楼层 |阅读模式
期刊全称Breakthroughs in Digital Biometrics and Forensics
影响因子2023Kevin Daimi,Guillermo Francia III,Luis Hernández E
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发行地址Provides a professional development resource for educators and practitioners on Digital Biometrics and Forensics.Contributes towards the enhancement of the community outreach and engagement component.
图书封面Titlebook: Breakthroughs in Digital Biometrics and Forensics;  Kevin Daimi,Guillermo Francia III,Luis Hernández E Book 2022 The Editor(s) (if applicab
影响因子.​This book focuses on a wide range of breakthroughs related to digital biometrics and forensics.  The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their biometrics and forensics knowledge. Furthermore, the book provides a glimpse of future directions where biometrics and forensics techniques, policies, applications, and theories are headed. Topics include multimodal biometrics, soft biometrics, mobile biometrics, vehicle biometrics, vehicle forensics, integrity verification of digital content, people identification, biometric-based cybercrime investigation, among others. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse digital biometrics and forensics experts in the listed fields and edited by prominent biometrics and forensics researchers and specialists..
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Jean-Luc Valk,Hans Vis,Gerard Koningreview the critical aspects of AI and Biometrics regarding user authentication protocols, so that the reader can get a general understanding of their combination. These aspects include the principal characteristics of both areas and how they can be joined in order to design reliable user authenticat
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Paul Arcario,Bret Eynon,Louis Luccaple of digital forensics, namely, to maintain the chain of custody throughout the investigative process. An approach still in its infancy is applying artificial intelligence (AI) to the IoT forensics domain, particularly a semantic-based ontology driven by machine learning (ML). This chapter focuses
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Cheryl C. Smith,Judith Summerfieldow that this algorithm provides an averaged ..-score of 89% in images with complex backgrounds, dim light or varied hand arrangements; and it correctly processes images in which users are wearing rings, something that traditional segmentation cannot handle. Some conditions such as hard shadowing rem
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Making Teaching and Learning Matteral intelligence methods, including most recent deep learning approaches. In addition, this chapter discusses emerging paradigms to ensure privacy and trustworthiness of biometric systems: cancelability, de-identification, and information fusion. The chapter is concluded with future research directio
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Handwriting Analysis: Applications in Person Identification and Forensicrs and practitioners who would like to start research in this field. It also provides future research directions to researchers to further expand research in the domains of person identification and gender detection.
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Developing a Scalpel and Foremost Graphical User Interfaced there was an inconsistency in the output of the recovered GUI data between Scalpel and Foremost. This was later identified as a difference between the underlying applications used. It identified that Scalpel has a different method for carving data for file system where Foremost used the same carvi
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