the license plate edge detection is the most important step of the process of plate identification. plate recognition system is an automated system that captures vehicle location, vehicle license plate accurately on various vehicles at different times of day and night sets. in this paper the issue of searching the exact location of the license plate from the input images using sobel operator fo...

The Hong’s modified histogram shifting method is best method of reversible watermarking. But Hong’s modified histogram method is not suitable for cartoon images. Our improved backward histogram shifting method overcome drawback of Hong’s method. Generally PSNR decreases when embedding capacity increases. But our improved backward histogram shifting method gives more embedding capacity and high ...

The modified histogram shifting method proposed by Hong et. al.(2010) is best method of reversible watermarking[16]. The shifting of pixels are more in Hong et. al.(2010) method. Even Hong et. al.(2010) method of modified histogram shifting has less embedding capacity and do not provide enough quality for general purpose image. Our forward modified histogram shifting method overcomes all these ...

Histogram-based template matching is an important method to search the globe optimization exhaustively. However, this method is commonly algorithmic complex. In this paper, we propose to replace the traditional histogram-based method with equivalent histogram-based method, which distinctly improves the matching efficiency. We first introduce the equivalent histogram on the basis of the relative...

This paper proposes a new method for image searches and image indexing in databases with a color temperature histogram. The color temperature histogram can be used for performance improvement of content–based image retrieval by using a combination of color temperature and histogram. The color temperature histogram can be represented by a range of 46 colors. That is more than the color histogram...

As we know, histogram matching is a commonly-adopted technique in the applications of pattern recognition. The matching of two patterns can be accomplished by matching their corresponding histograms. In general, the number of features and the resolution of each feature will determine the size of histogram. The more the number of features and the higher the resolution of each feature, the strong...

In this paper, morphological connected transformation technique is used to detect the background of the image is captured in poor lighting. Here the contrast image enhancement has been carried out by histogram equalization. Histogram equalization is a well known technique where image quality is improved by equally distributing pixel intensity through available grey scale. The histogram of an im...

Histogram is a commonly used tool for visualizing data distribution. It has also been in semi-supervised and unsupervised anomaly detection tasks. The histogram-based outlier score fast method that become more popular because of the rapid increase amount collected recent decades. Histogram-based can be computed using either static or dynamic bin-width histograms. When histogram contains large g...

The traditional method for creating a color histogram is to equally subdivide a certain color space into a given number of bins and then count the number of pixels each bin contains. Using such a histogram, the performance of almost all methods of histogram comparison are highly sensitive to the localization of the bin boundaries. In order to alleviate this sensitivity a new method of histogram...