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Vehicles are generally identified by their license plates. Locating the exact area containing the license plate is an important step in any license plate recognition system. This work describes an Edge Density Based approach for locating the single/multiple license plates present in the captured frame. The proposed approach is divided into two stages: Pre-processing and Exact detection. Pre-processing...
In this paper we propose a hybrid approach for Content Based Image Retrieval that takes into account both global as well as local features of an image. Towards this, first Stationary Wavelet Transform is applied on query image to extract horizontal, vertical and diagonal detail matrices. Stationary Wavelet Transform is used because of its translational invariant property. After this global textural...
This paper presents a multi-feature technique that integrates three different types of histograms for Efficient Content Based Image Retrieval. Color feature is extracted in the form of color histogram using Hue, Saturation and Value (HSV) color space. Local primitives of texture are extracted using Local Binary Pattern. The shape information is obtained using edge histograms computed for three different...
In this paper we propose a hybrid approach for Effective Content Based Image Retrieval based on texture and shape feature. Towards this, first Stationary Wavelet Transform (SWT) is applied on query image to extract horizontal, vertical and diagonal detail matrices. Stationary Wavelet Transform is used because of its translational invariant property. After this Edge Histogram Descriptor (EHD) is used...
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