Handbook of image processing operators
Handbook of image processing operators
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
New fast normalized neural networks for pattern detection
Image and Vision Computing
A New Implementation for High Speed Normalized Neural Networks in Frequency Space
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
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 modified Hopfield neural network for perfect calculation of magnetic resonance spectroscopy
WSEAS Transactions on Information Science and Applications
A perfect QoS routing algorithm for finding the best path for dynamic networks
WSEAS TRANSACTIONS on COMMUNICATIONS
A real-time intrusion detection algorithm for network security
WSEAS TRANSACTIONS on COMMUNICATIONS
New fast principal component analysis for real-time face detection
Machine Graphics & Vision International Journal
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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In this paper, a fast method for image matching on web pages is presented. Such method relies on performing cross correlation in the frequency domain between the web image and the image given in the user query. The cross correlation operation is modified. Instead of performing dot multiplication in the frequency domain, image subtraction is applied in two dimensions. It is proved mathematically that the number of computation steps required for the proposed fast matching method is less than that needed by conventional matching.