Discrete orthogonal moments in image analysis
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
FPGA-based System for Real-Time Video Texture Analysis
Journal of Signal Processing Systems
Hand-based verification and identification using palm-finger segmentation and fusion
Computer Vision and Image Understanding
Discrete orthogonal moments in image analysis
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Hardware architecture for pattern recognition in gamma-ray experiment
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
A zernike moment phase-based descriptor for local image representation and matching
IEEE Transactions on Image Processing
Algorithms for fast computation of Zernike moments and their numerical stability
Image and Vision Computing
Fast computation of exact Zernike moments using cascaded digital filters
Information Sciences: an International Journal
On invariance analysis of Zernike moments in the presence of rotation with crop and loose modes
Multimedia Tools and Applications
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
The fast recursive computation of Tchebichef moment and its inverse transform based on Z-transform
Digital Signal Processing
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Zernike moments have been proven to be very powerful image descriptors. However, their computational complexity makes them unsuitable for real-time applications. In this paper, a mathematical relationship between geometric and Zernike moments is extracted. In this way, the computation of geometric moments is adequate to derive Zernike moments. Since geometric moments can be efficiently implemented in hardware and their calculation can be performed in real-time, we propose here a new real-time hardware architecture for the computation of Zernike moments. This method outperforms existing software approaches, especially for large images, allowing real-time processing of images up to 4 Mpixels.