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Fingerprint authentication system is now one of the most reliable personal identification methods. However, it is difficult to design a system such that it satisfies requirements in both accuracy and lookup speed due to large fingerprint database and complicated fingerprint measures. Therefore, fast and accurate fingerprint indexing plays very important role in fingerprint authentication system. In...
This paper introduces an integrated color and texture feature based content based image retrieval using 2D Discrete Wavelet Transform (2D-DWT).Most of the image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. To address this problem, combining color and texture features the effective integrated framework developed...
Patten recognition techniques are often an important component of intelligent systems to describe, classify and recognise the objects. Object recognition using linear vector quantization neural network which is trained using descriptors such as boundary and regional descriptors is presented in this paper. Out of the various descriptors available, a combination of these descriptors extracted from the...
This paper describes a novel multi-connection based anomaly detection system. Previous techniques consume enormous amounts of time due to pre-processing features (unsupervised anomaly detection), or due to the lead time in creating specialized rules (supervised anomaly detection). The system described in this paper, MCAD, uses the observed premise that anomalous connections by one attacker are very...
Blogs have become a typical online publication in Web2.0 era. The users of blogs interact with each other by publishing entries, reading and posting comments to other's entries, and discussing with friends. By these actions, information propagates from user to user on the social networks. This paper extracts the information flow hidden in entries and investigates the rules of information flow in both...
We propose an automated photogrammetric system using visible light communication. Our system can be applied to the measurement of a variety of distances using a light as a reference point. In addition, the matching of same lights in different viewpoints can be automatically done by using unique blinking patterns. A light area is extracted based on a rule of the lighting patterns without a pre-known...
In this paper we propose a new template based feature extractor called Hausdorff Metric Feature Extractor (HMFE). This feature extractor makes use of Hausdorff distance metric for calculating the corner strength. The working of HMFE is justified using the concept of derivatives and gradients. We have also analysed the performance of HMFE under the five criteria: detection, localisation, repeatability,...
This paper presents a robust and precise eye detection algorithm on gray intensity face images. Our method combines the strength of two existing methods which are a feature based method and an appearance based method to detect and locate a precise pupil center. It includes the following three steps. First, the feature based method is used. The method uses a projection function to detect all possible...
Distributed source coding is one of the enabling technologies for efficient bandwidth utilization in wireless sensor networks and is consequently of great current interest. This paper studies its application to audio signals, using a transform weighted interleaved vector quantization (TWIN-VQ) framework and allowing a sensor node to passively receive and use information from neighboring sensors that...
Mining the web for customer opinion on different products is both a useful, as well as challenging task. Previous approaches to customer review classification included document level, sentence and clause level sentiment analysis and feature based opinion summarization. In this paper, we present a feature driven opinion summarization method, where the term ldquodrivenrdquo is employed to describe the...
Kohonen's self organizing map (SOM) involves neural networks, for which an algorithm learns the feature of input data through unsupervised, competitive neighborhood learning. In many cases of SOM learning, if the data make classes in input data space with similar density, similar shape, and similar size, corresponding classes in feature map also formed to similar shape and similar size. In the experiments,...
This paper presents a two-step dependency parser to parse Chinese deterministically. By dividing a sentence into two parts and parsing them separately, the error accumulation can be avoided effectively. Previous works on shift-reduce dependency parser may guarantee the greedy characteristic of deterministic parsing less. This paper improves on a kind of deterministic dependency parsing method to weaken...
dasiaZHEpsila imperfective has long time been a burning problem with linguistic research. However, up till now, few studies on the semantic meanings of dasiatemporal adverbials+ZHE imperfectivepsila sentences and their formalizations have been done. This paper addresses the formalization of dasiaZHEpsila imperfective and its combinations with temporal adverbial by an automatic parsing using CTT(Copenhagen...
In content-based image retrieval (CBIR), similarity measures vary according to the user, and it is difficult to build a retrieval system which reflects the user's similarity measures automatically. Regarding CBIR as consisting of feature extraction, coarse classification and detailed matching stages, this work aims at reflecting the user's similarity measures in coarse classification. After obtaining...
This paper presents a practical nighttime vehicle distance measuring method based on a single CCD image. The method combines an image-based distance measuring system. To solve the nighttime feature extraction problem, the proposed method uses two taillights as the feature. Based on the proportionality of similar triangles, distance between a CCD camera and the taillights of the vehicle ahead can be...
In recent years, studies of similar music retrieval have been conducted actively. However, because the similarity of music is based on subjective measures, the systems need to be adaptive to user preference. In this paper, we propose an effective method for adaptive similar music retrieval reflecting the user preference by nonlinear feature space transformation based on relevance feedback. The user's...
With the development of synthetic aperture radar (SAR) in recent years, the explosion of SAR images has urged people to find efficient means for searching and organizing mass amounts of images. In this paper, we propose an approach to content-based retrieval of SAR images, which contains feature selection and relevance feedback. In the process of retrieval, a low-dimensional feature subset is selected...
In this paper, first we discuss human motion analysis using the temporal template methodology. This methodology deals with the creation of motion history images (MHIs). Hu moment invariants are calculated from MHIs, for feature description. Two types of training datasets based on Hu moment invariants, have been developed. One training dataset is of 105times7 elements and other consists of 200times7...
Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture...
Sport video annotation can help viewers easily browse sport video content and quickly find the hot events and highlights in a game. Although many annotation algorithms have been proposed, they are not suitable for practical implementation since the high complexity and the low precision rates are not acceptable. In this paper, a method of sport video temporal structure decomposition, which decomposes...
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