Fingerprint identification and matching are the most important areas in digital image processing. Fingerprint identification is a prominent method of biometric identification. The quality of the fingerprint image is a significant one for a reliable matching process. The quality of the image can be enhanced at the preprocessing stage of image processing. In this paper we describe a fuzzy modelin...

Kernel-based feature combination techniques such as Multiple Kernel Learning use arithmetical operations to linearly combine different kernels. We have observed that the kernel distributions of different features are usually very different. We argue that the similarity distributions amongst the data points for a given dataset should not change with their representation features and propose the ...

Biometric Person Authentication such as face, fingerprint, palmprint and signature depends on the quality of image processing. When it needs to be done under a low-resolution image, the accuracy will be impaired. So how to recover the lost information from downsampled images is important for both authentication and preprocessing. Based on Super-Resolution through Neighbor Embedding algorithm an...

Cochannel interference is often the predominant factor that limits the capacity of a cellular mobile radio system. Power control is thus needed so that carrier-to-cochannel interference ratio (CIR) can be maintained within a tolerable bound. Many power control algorithms that require real-time CIR measurement have been proposed but there is very few mentioning of the measurement method. This pa...

Histogram indexing, also known as jumbled pattern indexing and permutation indexing is one of the important current open problems in pattern matching. It was introduced about 6 years ago and has seen active research since. Yet, to date there is no algorithm that can preprocess a text T in time o(|T|(2)/polylog|T|) and achieve histogram indexing, even over a binary alphabet, in time independent ...

Multi-source image registration is challenging due to intensity, rotation, and scale differences among the images. Considering characteristics of multi-source remote sensing images, a feature-based algorithm named Multi-scale Histogram Local Main Orientation (MS-HLMO) proposed. Harris corner detection first adopted generate feature points. The HLMO each point extracted on Partial Map (PMOM) wit...

This paper proposed a new steganalysis method against least significant bit (LSB) matching for images with high noise component which is considered more difficult for steganalysis than images with low noise component. First we calculate the sum of curvature of images histogram as discriminative feature which will reduce after LSB matching. Then, the calibration mechanism is introduced to reduce...

In this paper, we present an efficient content-based video copy detection method based on vocabulary tree and inverted files. The copy detection system exploits complementary local features and video sequence matching. Using two different local features, vocabulary trees and inverted files are built respectively to get keyframes matching result. Histogram-based and diagonal-based sequence match...

It is argued that global illumination should be modeled separately from other incidents that change the appearance of objects. The eeects of intensity variations of the global illumination are discussed and constraints deduced that restrict the shape of a function that maps the histogram of a template to the histogram of an image location. This approach is illustrated for simple pattern matchin...