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

GUAFF

書目名稱Breakthroughs in Digital Biometrics and Forensics影響因子(影響力)




書目名稱Breakthroughs in Digital Biometrics and Forensics影響因子(影響力)學(xué)科排名




書目名稱Breakthroughs in Digital Biometrics and Forensics網(wǎng)絡(luò)公開度




書目名稱Breakthroughs in Digital Biometrics and Forensics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Breakthroughs in Digital Biometrics and Forensics被引頻次




書目名稱Breakthroughs in Digital Biometrics and Forensics被引頻次學(xué)科排名




書目名稱Breakthroughs in Digital Biometrics and Forensics年度引用




書目名稱Breakthroughs in Digital Biometrics and Forensics年度引用學(xué)科排名




書目名稱Breakthroughs in Digital Biometrics and Forensics讀者反饋




書目名稱Breakthroughs in Digital Biometrics and Forensics讀者反饋學(xué)科排名

Abrade

PATRI

Vulnerable

取之不竭

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

誘騙

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

配置

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

暗語

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

引起痛苦

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.

稱贊

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