Sensor-Based Biometrics Recognition and Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 2550
Special Issue Editors
Interests: computer vision; pattern recognition; biometrics
Special Issues, Collections and Topics in MDPI journals
Interests: biometrics; pattern recognition; digital image processing; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biometrics is a technology used for authentication and identification purposes, determining whether a person is the same individual as one previously stored within the system through the analysis of the person’s raw data acquired through a sensor. With the recent development of sensor technology, the quality of raw data for realizing biometrics has been dramatically improved, and recognition accuracy has also been greatly improved through sensor data analysis based on deep learning. The number of biometrics applications for smart device identification, identification for fintech untact transactions, and intelligent CCTV implementation is also increasing significantly. Within this framework, we are pleased to serve as Guest Editors of this Special Issue on “Sensor-Based Biometrics Recognition and Processing”. In this Special Issue, all issues related to sensors can be addressed regarding their use for biometrics-based authentication/identification purposes. In addition to new biometrics sensors, topics such as pre-processing, (signal or image) quality enhancement, and performance improvement through multi-sensor data fusion or multi-data fusion from single sensors for human data acquired through the sensor can be considered. In addition, topics such as anti-spoofing and new databases considering various sensor variations can also be considered. New neural network models or matching methods for biometrics can also be proposed. Biometrics methods that are robust to limited information and occlusion issues in the COVID-19 pandemic are also a welcome topic.
Prof. Dr. Eui Chul Lee
Dr. Gi Pyo Nam
Guest Editors
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Keywords
- biometrics sensors
- image/signal pre-processing for biometrics
- image/signal enhancement for biometrics
- multi-sensor data fusion
- multi-data fusion from single sensors
- biometrics anti-spoofing considering sensor characteristics
- new biometrics databases considering various sensor variations
- new neural network models/matching algorithms
- new methods robust to limited information/occlusion issues
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