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Suppose that K is a nonempty closed convex subset of a uniformly convex and smooth Banach space E with P as a sunny nonexpan-sive retraction. Let T 1 , T 2 : K → E be two weakly inward nonself asymptotically nonexpansive mappings with respect to P with two sequences {k (i) n } ⊂ [1, ∞) satisfying ∞ n=1 (k (i) n − 1) < ∞ (i = 1, 2) and F (T 1) ∩ F (T 2) = {x(More)
Character segmentation and recognition are important steps in the automatic license plate recognition (ALPR) system. The skew license plate has a great influence on the accurate character segmentation and recognition. To solve the problem, an efficient approach for skew correction of license plate is proposed. First, the plate image is divided into a set of(More)
Character recognition plays an important role in the automatic license plate recognition (ALPR) system. In this paper, we propose a new method to recognize the license plates characters by using 2D Gaussian-Hermite moments (GHMs) of different orders with 231 GHMs features as the input vector of BP neural network. The system worked under variable(More)
This paper presents an image matching evolutionary algorithm (called IMEA algorithm) based on Hu invariant moments. First, the population is initialized. A group of searched subgraphs is constructed. Second, the fitness function based on Hu invariant moments is designed. The seven Hu invariant moments of the template image and the searched subgraph are(More)
Character recognitions are generally very sensitive to skew in the automatic license plate recognition (ALPR) system. The skew correction of license plate thus is an important step in ALPR. In this paper, we propose an orientation-based method for skew detection. The license plate image is firstly divided into a set of 5&#x00D7;5 non-overlapping blocks. The(More)
We consider general field theories in six dimensions, with two of the dimensions compactified on a T 2 /Z 4 orbifold. Six-dimensional Weyl fermions propagating on this background give rise to a chiral zero-mode, which makes them interesting for phenomenological applications. The compact two-dimensional space is flat and has three conical singularities. We(More)
Fingerprints are most widely used for personal identification. It is very important to detect singular points (core and delta) accurately and reliably in most fingerprint verification and identification algorithms for locating reference points for minutiae matching and classification. In this paper, we propose a new adaptive algorithm for singular points(More)