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MOTIVATION The major signal in coding regions of genomic sequences is a three-base periodicity. Our aim is to use Fourier techniques to analyse this periodicity, and thereby to develop a tool to recognize coding regions in genomic DNA. RESULT The three-base periodicity in the nucleotide arrangement is evidenced as a sharp peak at frequency f = 1/3 in the(More)
In this paper, a new technique for the enhancement of color image using multiscale retinex with modified color restoration has been proposed. The basic steps of multiscale retinex algorithm have been analyzed, modified and various operations are performed in an orderly manner. The enhancement effects are visually effective. In addition, it adds true color(More)
A novel architecture suitable for FPGA/ASIC implementation of a video scalar is presented. The scheme proposed here results in enormous savings of memory normally required, without compromising on the image quality. In the present work, SVGA compatible video sequence is scaled up to XGA format. The up scaling operation for a video sequence is carried out by(More)
Due to the power limitation in wireless sensor nodes, special attention is required in optimizing the power consumption of the necessary electronics on a node. This can be done at different levels of abstraction, while architectural level optimization brings a major power reduction due to the fact that any changes made at this level of abstraction will be(More)
Iris Recognition (IR) under varying contrast and live-tissues is challenging. This paper proposes two novel techniques viz., Radon Transform Thresholding (RTT) and Gradient-based Isolation (GI). RTT is used to extract the prominent features from the pre-processed image. GI is a pre-processing technique which uses the edge detection property of Gradient(More)
Face recognition (FR) with reduced number of features is challenging and energy based feature extraction is an effective approach to solve this problem. However, existing methods are hard to extract only the required low frequency features, which is important for capturing the intrinsic features of a face image. This paper proposes a novel Block-Based(More)