Biometric Systems
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- books978-3-0365-1129-0
- 9783036511283
- 9783036511290
- Technology: general issues
- online signature verification
- shape contexts
- function features
- SC-DTW
- symbolic representation
- two-stage method
- finger features
- multimodal recognition
- local coding
- Gabor filter
- LGS
- human identification
- biomarker
- ECG
- machine learning
- Physionet
- Lviv Biometric Dataset
- biometry
- identification
- bloodstream
- image recognition
- multi-biometrics
- bit planes
- block
- mutual information
- cross-device
- dorsal hand vein recognition
- person re-identification
- superpixel
- temporally aligned pooling
- walking cycle
- automatic recognition
- face
- voice
- body motion
- autism spectrum disorder (ASD)
- assessment
- intervention
- curve similarity
- curve similarity model
- curve similarity transformation
- similarity distance
- segmentation matching
- evolutionary computation
- finger vein recognition
- hand vein recognition
- contactless acquisition device
- public vascular pattern dataset
- biometric recognition performance evaluation
- face verification
- optical correlation
- Hausdorff distance
- image classification
- face detection
- depth map ensemble
- filtering
- geometric deep learning
- ear detection
- structured prediction
- semantic segmentation
- rotation equivariance
- Gaussian mixture model
- superpixels
- face recognition systems
- person identification
- biometric systems
- survey
- automatic signature verification
- touch-screen sensor
- data quality
- enrollment phase
- performance assessment
- augmented signature
- security enhancement
- mobile conditions
- biometric recognition
- visible light iris images
- image quality assessment
- image covariates
- quality filtering
- vascular biometric recognition
- wrist vein recognition
- contactless dataset
- pattern recognition
- infrared camera
- non-contact devices
- Scale-Invariant Feature Transform (SIFT®)
- Speeded Up Robust Features (SURF®)
- Oriented FAST and Rotated BRIEF (ORB)
- fingerprint
- presentation attack detection
- deep learning
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Open Access star Unrestricted online access
Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
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