Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Human face recognition and the face image set's topology
CVGIP: Image Understanding
IEEE Micro
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Neuro-Fuzzy Classifier with Application to On-Line Face Detection and Recognition
Journal of VLSI Signal Processing Systems
A Transformation-Based Mechanism for Face Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Machine Vision and Applications
Lip print recognition for security systems by multi-resolution architecture
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
Pattern recognition using higher-order local autocorrelation coefficients
Pattern Recognition Letters
Face Matching in Large Database by Self-Organizing Maps
Neural Processing Letters
Face recognition using point symmetry distance-based RBF network
Applied Soft Computing
Extension of higher order local autocorrelation features
Pattern Recognition
EURASIP Journal on Applied Signal Processing
A pattern matching technique for detecting similar 3D terrain segments
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Using backpropagation neural network for face recognition with 2D+3D hybrid information
Expert Systems with Applications: An International Journal
Real Time Eyes Tracking and Classification for Driver Fatigue Detection
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
WSEAS TRANSACTIONS on SYSTEMS
A Novel Technique for Human Face Recognition Using Nonlinear Curvelet Feature Subspace
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Facial Feature Extraction Based on Wavelet Transform
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
IEEE Transactions on Image Processing
Enhanced local texture feature sets for face recognition under difficult lighting conditions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Enhanced local texture feature sets for face recognition under difficult lighting conditions
IEEE Transactions on Image Processing
Facial expression recognition using fisher weight maps
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Revealing digital fakery using multiresolution decomposition and higher order statistics
Engineering Applications of Artificial Intelligence
Modeling micro-patterns for feature extraction
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Scale invariant texture analysis using multi-scale local autocorrelation features
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Face recognition with multi-scale block local ternary patterns
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Multi-linear neighborhood preserving projection for face recognition
Pattern Recognition
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In this paper we investigate the performance of a technique for face recognition based on the computation of 25 local autocorrelation coefficients. We use a large database of 11,600 frontal facial images of 116 persons, organized in training and test sets, for evaluation. Autocorrelation coefficients are computationally inexpensive, inherently shift-invariant and quite robust against changes in facial expression. We focus on the difficult problem of recognizing a large number of known human faces while rejecting other, unknown faces which lie quite close in pattern space. A multiresolution system achieves a recognition rate of 95%, while falsely accepting only 1.5% of unknown faces. It operates at a speed of about one face per second. Without rejection of unknown faces, we obtain a peak recognition rate of 99.9%. The good performance indicates that local autocorrelation coefficients have a surprisingly high information content.