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Palabras clave – provistas por la editorial

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