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The use of tattoos as a soft biometric is increasing in popularity among law enforcement communities. There is great need for large scale, publicly available tattoo datasets that can be used to standardize efforts to develop tattoo-based biometric systems. In this work, we introduce a large tattoo dataset (WVU-MediaTatt) collected from a social-media website. Additionally, we provide the source links...
Iris recognition is a biometric authentication system proving vital for ensuring security and has been employed as an important case to test the algorithms developed in pattern recognition. The unique circular shape of the iris and its time invariance makes it a versatile technique that has an accuracy that can be mathematically proven. Here in this work we propose a new segmentation technique and...
The continuing growth, availability and demand for remote sensing data combined with human impossibility in manual and individual analysis of these data leads to a need to investigate new tools and techniques for automated analysis (or semi-automatic) and intelligent remote sensing databases. Mining images is an alternative for explore large database of remote sensing images, which are methods to...
Developed modification data clustering algorithm for multispectral image segmentation based on their specific opportunities to allocate individual objects or spatial domain with specific spectral properties.
It is very difficult to count currency notes of different denominations in a bundle. We propose a system which can be implemented in paper currency counting machines to count Indian currency notes of different denominations efficiently and accurately. The system takes an image of standard orientation in upright position of Indian currency notes and detects its denomination accordingly. It makes use...
In the rapidly expanding fields of cellular and molecular biology, fluorescence illumination and observation is becoming one of the techniques of choice to study the localization and dynamics of proteins, organelles, and other cellular compartments, as well as a tracer of intracellular protein trafficking. The automatic analysis of these images and signals in medicine, biotechnology, and chemistry...
In recent years, Many people want to watch their interesting object from their wanted viewing angle when they watch sports or soap opera on TV. Thus, we have developed object based video contents management system for the personalized broadcasting service.
This paper puts forward a method to extract information from input image and further analyse using that information. However it is relatively difficult to extract the information as the segmentation technique required, is variable between images; a limit of segmentation performance. The main objective of our paper is to propose an algorithm on how to extract that relative information out of given...
This paper presents an analysis of the parameters used to construct 2D log-Gabor filters to encode iris patterns. This filter is a band-pass complex filter composed by four parameters that are used to extract information direct in the 2D domain. An iris recognition system, composed by segmentation, normalization, encoding and matching is also described. The segmentation module combines the Pulling...
One of the main reason for false recognition is noise added to fingerprint images during the acquisition step. Hence, the improvement of the enhancement step affects general accuracy of automatic recognition systems. In one of our previous publications we introduced hierarchically linked extended features - the new set of features which not only includes additional fingerprint features individually...
Video texts are known to constitute an important source of information for semantic summaries of video archives. In this study, we propose a fully automated architecture for semantic annotation and later retrieval of Turkish news videos based on the corresponding video texts. At the core of the architecture is a named entity recognizer, the output of which on video texts is used as semantic annotations...
Clustering is a useful approach in data mining, image segmentation, and other problems of pattern recognition. Fuzzy clustering process can be quite slow when there are many objects or pattern to be clustered. This article discusses about an algorithm, ckMeans, which is able to reduce the number of distinct patterns which must be clustered without adversely affecting partition quality. The reduction...
Pattern matching is a technique in which the location of a particular place is found by comparing its raw image with the image present in the database. It is used to check the presence of certain structure in an image. It is done between the reference image and database images sequentially pixel by pixel. Today's applications require more of georefrencing techniques like GIS and other geographic control...
The iris localization is a very important step for iris-recognition. In this step concentric circular outer boundaries of the iris and the pupil in eye's image identify. We enhanced Daugman method to locate the iris by using an Average Square Shrinking Approach. The algorithm is tested using iris images from CASIA database and MMU database. The circle contour sampling parameter has been investigated...
How to rapidly capture the wanted video data at the sea video database is the currently hot research topic. This paper put forward to an algorithm based on artificial intelligence for video retrieval; the results of experiment had been given and compared with key frame-based video retrieval (KFVR). The retrieval precision of our algorithm is higher than KFVR about 4%.
This paper presents an interface of image query system for content-based image retrieval.The proposed interface can split images into the regions and select an target region from the separated regions. We apply content-based image retrieval to the selected region as a query.The images in databases are also split into the areas in advance.The content features such as color and texture are extracted...
As a low-level feature in content-based image retrieval (CBIR), color histogram does not take into account the spatial correlation of the same or similar valued elements. In order to overcome this drawback, color approximation histogram based on rough sets theory is proposed in this paper. The image is partitioned into a collection of non-overlapping windows (called granule G). According to the pixels...
This paper presents a new method to select a segment-to-segment matching by analysing signature verification, accordingly curve segments used in signature verification and the regional feature contained in the curve segment are picked-up and the regional features are selected by ant colony optimization (ACO) algorithm and genetic algorithms(GAs). Namely, features selected are first encoded into chromosome,...
In the field of unsupervised texture classification, a combination of various families of methods was usually used for better classification results. However, the existing methods are usually used for specific application and evaluated with fixed window size. In this literature, we propose an effort to combine multi-scale features for unsupervised texture classification. The local binary pattern (LBP)...
In this paper, a novel fusion method for gender classification from gait based on multi-view video sequences is proposed. At the feature level, each human silhouette in a whole gait period is segmented into eight different components. Then at the match score level, the discrimination distance of each corresponding component under every camera-view angle is respectively weighted. The two-dimension...
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