• Publications
  • Influence
Age estimation using a hierarchical classifier based on global and local facial features
TLDR
The research related to age estimation using face images has become increasingly important, due to the fact it has a variety of potential applications. Expand
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Cancelable fingerprint templates using minutiae-based bit-strings
TLDR
We propose a new method to generate cancelable bit-strings (templates) from fingerprint minutiae. Expand
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Extreme Learning Machines [Trends & Controversies]
TLDR
This special issue includes eight original works that detail the further developments of ELMs in theories, applications, and hardware implementation. Expand
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Iris Feature Extraction Using Independent Component Analysis
TLDR
In this paper, we propose a new feature extraction algorithm based on Independent Component Analysis (ICA) for iris recognition. Expand
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A Novel Method to Extract Features for Iris Recognition System
TLDR
A novel method to extract features is proposed for iris recognition system. Expand
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Face liveness detection based on texture and frequency analyses
TLDR
We propose a single image-based fake face detection method based on frequency and texture analyses for discriminating 2-D paper masks from the live faces. Expand
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New iris recognition method for noisy iris images
TLDR
We propose the 1st step classification method which discriminates the ''left or right eye'' on the basis of the eyelash distribution and SR points. Expand
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A new scheme for touchless fingerprint recognition system
TLDR
A touchless fingerprint recognition system is devised using a camera sensor to resolve the deformations caused by the pressure of the physical contact. Expand
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Detecting driver drowsiness using feature-level fusion and user-specific classification
TLDR
We propose a new method for eye state classification that combines three innovations: (1) extraction and fusion of features from both eyes, (2) initialization of driver-specific thresholds to account for differences in eye shape and texture, and (3) modeling of driver's blinking patterns for normal (non-drowsy) driving. Expand
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Vision-based method for detecting driver drowsiness and distraction in driver monitoring system
TLDR
We propose a novel eye state-detection algorithm that combines adaptive boosting, adaptive template matching, and blob detection with eye validation. Expand
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