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, a technique based on Independent Component Analysis (ICA) and morphological attribute filters is presented for the classification of high geometrical resolution hyperspectral images. The ICA is computed instead of the conventional principal component analysis (PCA) in order to better model the information in the hyperspectral image. The spatial characteristics of the objects in the...
Palmprint identification/verification is becoming increasingly popularity in recent years. The fundamental step in palmprint based biometric authentication system is in locating the region of interest (ROI) in palmprint images. In this paper, we propose a novel three stage process of palmprint verification. Stage one involves a new method of locating and segmenting the ROI of palmprint images and...
Face recognition has become one of the most active research areas of pattern recognition since the early 1990s. At present there are many face recognition algorithms. Thereinto, subspace learning method such as principal component analysis (PCA) is a very hot research topic in this field. The basis images found by PCA depend only on pairwise relationships between pixels in the image database. In a...
We have implemented a full automatic pipeline that is able to automatically detect, normalize and recognize the faces in presence of extraneous objects. The face detector uses curvature analysis, surface registration through ICP and Gappy PCA classification. After detection and normalization, the face images are restored using an occlusion detection algorithm followed by Gappy PCA reconstruction....
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.