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 present a framework for improving face recognition system that have several stages. Some improvements of every stage are very important to the recognition results. Driven by this intuition, we proposed a novel scheme that gives the system a better performance. The scheme including dataset augment for learning, especially for big data requirement of deep learning. Enhancing the image...
In this paper, a novel 3-channel orthogonal filter bank was proposed at first, and then an efficient face recognition method combining the filter bank and 2DLDA (two-dimensional linear discriminant analysis) was presented. The framework of the proposed method consists of two steps: First, each face image was decomposed into nine sub images by using the 3-channel filter bank, and then 2DLDA was used...
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.