The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we explored the use of certain image features, block-wise histograms of local orientations. They are used in many current object recognition algorithms, for the task of locating cephalometric landmarks on X-ray images. After reviewing existing cephalometric landmark detection systems, we show experimentally that grids of Histograms of Oriented Gradients (HOG) descriptors significantly...
We describe a system for automatic diagnosis of malignant melanoma based on digital dermoscopic images. The tool is designed for use with general practitioners, saving time and resources in the diagnostic process. A variety of indicative features are described mimicking the human approach for diagnosis. Segmentation, pattern recognition, and change detection are the important steps in our approach.
Paper currency recognition with good accuracy and high processing speed has great importance for banking system. How to extract high quality monetary features from currency images is a key problem in paper currency recognition. Based on the traditional local binary pattern (LBP) method, an improved LBP algorithm, called block-LBP algorithm, is proposed in this paper for characteristic extraction....
In on-line palmprint recognition tasks, texture based feature extraction methods are widely adopted for palmprint representation, owing to their high performance. Gabor filter bank is among the most promising texture information extraction tool because of its multi-scale and multi-orientational characteristics. However, it is both time and memory intensive to convolve palm images with a bank of filters...
A main challenge for texture analysis is to construct a compact texture descriptor which is not only highly discriminative to intra-class textures, but also robust to inter-class variations, geometric and photometric changes. In this paper, a new texture descriptor is developed by integrating the local affine-invariant texture features and the global viewpoint-invariant statistics. Based on the pixel...
We propose a simple and efficient way for pattern recognition and signal classification within the diffusion framework. Our proposed node connectivity matching (NCM) method is derived from the diffusion distance. However, instead of computing the eigenvalues/eigenvectors of the normalized diffusion matrix on the graph constructed from the data, as required when approximating the diffusion distance,...
In this paper, we present a text detection and localization method. Our detection technique is based on a cascade of boosted ensemble and localizer uses standard image processing techniques. We propose a small set of features (39 in total) capable of detecting various type of text in grey level natural scene images. Two weak learners, linear discriminant function and log likelihood-ratio test under...
Scenes from ldquoWherepsilas Waldo?rdquo are used as data sets to explore a method of pattern recognition using local histograms and neural networks. The method consists of splitting the image into a number of sub images, selecting random training images, training the neural networks and then passing the whole set of puzzles through the image to find the character Waldo. Results are shown which demonstrates...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.