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Iris Recognition (IR) is a demanding field, owing to varying contrast and live-tissues. The important contrast invariant features need to be extracted to address this problem. This paper proposes a novel feature selection evolutionary algorithm, namely, Dynamic Binary Particle Swarm Optimization (DBPSO) for enhanced IR. DBPSO generates a highly optimized global best vector, using which, the number...
This paper proposes a Digital Image Watermarking technique based on DWT+DFT+SVD transforms for transmission of data through watermarking digital color images. The DWT stage selectively utilizes the horizontal detail coefficients of the 2-dimensional DWT of the image. Daubechies wavelet family is used to perform DWT which helps in increasing the accuracy of watermarking. The translation variance problem...
Cyclone vortex localization under varying conditions of saturated spiral bands is challenging. This paper presents a unique combination of image processing techniques, viz., Sequential Cross-Correlation (SCC) and Multi-Level Thresholding (MLT) for vortex localization. SCC is used for cyclone detection in a full-disk satellite imagery, and is based on the high degree of correlation in the sequence...
The appearance of the face will vary drastically when pose, illumination, background and expression change. Variations in these conditions make Face Recognition (FR) an even more challenging and difficult task. In this paper, we propose two novel techniques, viz., Entropic Gabor Wavelet Transform (Entropic-GWT) and Logarithmic Binary Particle Swarm Optimization (LBPSO), to improve the performance...
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