default search action
Pattern Recognition Letters, Volume 113
Volume 113, October 2018
- Michele Nappi, Nasir D. Memon, Daniel Riccio, Andreas Uhl:
Introduction to the special issue on integrating biometrics and forensics. 1-2 - Fabiola Becerra-Riera, Annette Morales-González, Heydi Méndez-Vázquez:
Facial marks for improving face recognition. 3-9 - Modesto Castrillón Santana, Javier Lorenzo-Navarro, Carlos Manuel Travieso-González, David Freire-Obregón, Jesús Bernardino Alonso Hernández:
Evaluation of local descriptors and CNNs for non-adult detection in visual content. 10-18 - Hiranmoy Roy, Debotosh Bhattacharjee:
A novel quaternary pattern of local maximum quotient for heterogeneous face recognition. 19-28 - Andeep S. Toor, Harry Wechsler:
Biometrics and forensics integration using deep multi-modal semantic alignment and joint embedding. 29-37 - Kamel Aloui, Amine Naït-Ali, Mohamed Saber Naceur:
Using brain prints as new biometric feature for human recognition. 38-45 - Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A deep learning approach for iris sensor model identification. 46-53 - Virginio Cantoni, Mirto Musci, Nahumi Nugrahaningsih, Marco Porta:
Gaze-based biometrics: An introduction to forensic applications. 54-57 - Ruggero Donida Labati, Angelo Genovese, Enrique Muñoz Ballester, Vincenzo Piuri, Fabio Scotti:
A novel pore extraction method for heterogeneous fingerprint images using Convolutional Neural Networks. 58-66 - Attilio Fiandrotti, Massimo Mattelliano, Enrico Baccaglini, Paolo Vergori:
CDVSec: Privacy-preserving biometrical user authentication in the cloud with CDVS descriptors. 67-74 - Manabu Okawa:
From BoVW to VLAD with KAZE features: Offline signature verification considering cognitive processes of forensic experts. 75-82 - Gianni Fenu, Mirko Marras, Ludovico Boratto:
A multi-biometric system for continuous student authentication in e-learning platforms. 83-92 - Giuseppe Cattaneo, Gianluca Roscigno, Umberto Ferraro Petrillo:
Improving the experimental analysis of tampered image detection algorithms for biometric systems. 93-101
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.