Handbook of image processing operators
Handbook of image processing operators
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Iris Detection for Personal Verification Using Modular Neural Nets
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Fast Face Detection Using Neural Networks and Image Decomposition
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Fast and Accurate Face Detector for Indexation of Face Images
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Fast Modular Neural Nets for Human Face Detection
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
A New Robust Face Detection in Color Images
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Human iris detection using fast cooperative modular neural nets and image decomposition
Machine Graphics & Vision International Journal
Speeding-up normalized neural networks for face/object detection
Machine Graphics & Vision International Journal
EURASIP Journal on Applied Signal Processing
A new fast forecasting technique using high speed neural networks
WSEAS Transactions on Signal Processing
A novel fast Kolmogorov's spline complex network for pattern detection
WSEAS TRANSACTIONS on SYSTEMS
A new fast forecasting technique using high speed neural networks
SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
A novel fast Kolmogorov's spline complex network for pattern detection
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Fast image matching on web pages
CIS'09 Proceedings of the international conference on Computational and information science 2009
Design of anti-GPS for reasons of security
CIS'09 Proceedings of the international conference on Computational and information science 2009
A fast computerized method for automatic simplification of boolean functions
ISTASC'09 Proceedings of the 9th WSEAS International Conference on Systems Theory and Scientific Computation
Fast word detection in a speech using new high speed time delay neural networks
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Fast time delay neural networks for word detection in video conference
ECC'09 Proceedings of the 3rd international conference on European computing conference
An efficient electronic archiving approach for office automation
ECC'09 Proceedings of the 3rd international conference on European computing conference
Fast information processing over business networks
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
Fast image matching on web pages
WSEAS Transactions on Signal Processing
Fast record detection in large databases using new high speed time delay neural networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Fast word detection in a speech using new high speed time delay neural networks
WSEAS Transactions on Signal Processing
A new automated information retrieval system by using intelligent mobile agent
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
New fast principal component analysis for real-time face detection
Machine Graphics & Vision International Journal
Fast Karnough map for simplification of complex Boolean functions
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Fast human motion tracking by using high speed neural
SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
A new expert system for pediatric respiratory diseases by using neural networks
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
Surveillance of video signals over computer networks
ACC'11/MMACTEE'11 Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing
Real-time transmission of video streaming over computer networks
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
A new hybrid system for information security
ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
A new fast neural network model
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
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Neural networks have shown good results for detecting a certain pattern in a given image. In this paper, fast neural networks for pattern detection are presented. Such processors are designed based on cross correlation in the frequency domain between the input image and the input weights of neural networks. This approach is developed to reduce the computation steps required by these fast neural networks for the searching process. The principle of divide and conquer strategy is applied through image decomposition. Each image is divided into small in size sub-images and then each one is tested separately by using a single fast neural processor. Furthermore, faster pattern detection is obtained by using parallel processing techniques to test the resulting sub-images at the same time using the same number of fast neural networks. In contrast to fast neural networks, the speed up ratio is increased with the size of the input image when using fast neural networks and image decomposition. Moreover, the problem of local sub-image normalization in the frequency domain is solved. The effect of image normalization on the speed up ratio of pattern detection is discussed. Simulation results show that local sub-image normalization through weight normalization is faster than sub-image normalization in the spatial domain. The overall speed up ratio of the detection process is increased as the normalization of weights is done offline.