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.
We develop a transform-invariant PCA (TIPCA) technique which aims to accurately characterize the intrinsic structures of the human face that are invariant to the in-plane transformations of the training images. Specially, TIPCA alternately aligns the image ensemble and creates the optimal eigenspace, with the objective to minimize the mean square error between the aligned images and their reconstructions...
In this paper, we present a novel scheme to tackle the task of near-duplicate image detection. Given two input images, the algorithm based on the refined similarity measure can judge rightly whether two input image are duplicate images or not. The two images are represented with local feature (i.e, Affine-SIFT) in bag of features model. The Affine-SIFT can undergo larger affine distortions than Hessian-Affine...
Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine, a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership, so that some samples can be chosen by class membership...
In this paper, we present a large scale offline handwritten Chinese character database-HCL2000 which will be made public available for the research community. The database contains 3,755 frequently used simplified Chinese-characters written by 1,000 different subjects. The writerspsila information is incorporated in the database to facilitate testing on grouping writers with different background such...
Low-resolution Chinese character recognition of vehicle license plate is always a difficult problem. On the basic of existing local binary patterns(LBP) operator, we propose a powerful and low-computation advanced LBP(ALBP)operator as feature extraction, and apply into Chinese character recognition for the first time. As local feature extraction operater, it produces a feature excursion for characters...
In pattern recognition, the number and quality of learning patterns is of crucial importance. When the number and quality of learning patterns are limited, error occurs in the presumed distribution of patterns and the precision of whole recognition system decreases. In this paper, a new pattern generation method is proposed which contributes to improvement of the performance of a handwritten Chinese...
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.