Martin Stokkenes
Ph.D. started in: 2015
Expected year of graduation: 2018
COINS consortium member: Norwegian University of Science and Technology
Supervised by: Christoph Busch, Raghavendra Ramachandra
Links:
Research area: Authentication and Biometrics
Project title: Secure and Privacy Preserving Biometrics for Transaction Authentication
Project description: With biometrics enabled smartphones we are seeing a huge growth in applications where biometrics are used. One emerging area is mobile and online banking. By incorporating biometrics the extent of fraudulent transactions can be reduced while also making the authentication process more convenient for users.
The aim of the project is to use biometrics for authentication of transactions in online banking. Expanding on existing techniques in template protection and biometric fusion will allow us to develop secure and privacy preserving protocols.
- Raghavendra Ramachandra, Sushma Venkatesh, Kiran Bylappa Raja, Pankaj Shivdayal Wasnik, Martin Stokkenes, Christoph Busch (2018). Fusion of Multi-Scale Local Phase Quantization Features for Face Presentation Attack Detection
- Martin Stokkenes, Raghavendra Ramachandra, Christoph Busch (2018). Biometric Transaction Authentication using Smartphones
- Pankaj Shivdayal Wasnik, Raghavendra Ramachandra, Martin Stokkenes, Kiran B. Raja, Christoph Busch (2018). Improved Fingerphoto Verification System Using Multi-scale Second Order Local Structures
- Pankaj Shivdayal Wasnik, Martin Stokkenes, Mihkal Dunfjeld, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch (2018). Baseline Evaluation of Smartphone based Finger-photo Verification System
- Martin Stokkenes, Raghavendra Ramachandra, Kiran Bylappa Raja, Morten Sigaard, Christoph Busch (2017). Feature Level Fused Templates for Multi-Biometric System on Smartphones
- Martin Stokkenes, Raghavendra Ramachandra, Kiran Bylappa Raja, Morten Sigaard, Marta Gomez-Barrero, Christoph Busch (2017). Multi-biometric template protection on smartphones: An approach based on binarized statistical features and bloom filters
- Martin Stokkenes, Raghavendra R, Morten Sigaard, Kiran Raja, Marta Gomez-Barrero, Christoph Busch (2016). ‘Multi-Biometric Template Protection – A Security Analysis of Binarized Statistical Features for Bloom Filters on Smartphones’
- Martin Stokkenes, Raghavendra Ramachandra, Christoph Busch (2016). ‘Authentication protocols for biometric identity on smartphones – An overview’
- Martin Stokkenes, Raghavendra Ramachandra, Kiran B. Raja, Morten Sigaard, Marta Gomez-Barrero, Christoph Busch (2016). ‘Multi-Biometric Template Protection on Smartphones: An Approach based on Binarized Statistical Features and Bloom Filters’
- Kiran Bylappa Raja, Rachamandra Raghavendra, Martin Stokkenes, Christoph Busch (2015). Fusion of Face and Periocular Information for Improved Authentication on Smartphones
- Kiran Bylappa Raja, Rachamandra Raghavendra, Martin Stokkenes, Christoph Busch (2015). Multi-modal Authentication System for Smartphones Using Face, Iris and Periocular
- COINS Finse winter school , Finse, Norway, 2016
- COINS Summer School on Authentication, Metochi, Greece, 2016
- COINS Ph.D. student seminar, Bergen, Norway, 2016