In this paper we examine the use of global texture analysis based approaches for the purpose of Persian font recognition in machine-printed document images. Most existing methods for font recognition make use of local typographical features and connected component analysis. However derivation of such features is not an easy task. Gabor filters are appropriate tools for texture analysis and are ...

Given certain compactly supported functions g ∈ L2(Rd) whose Zd-translates form a partition of unity, and real invertible d×d matrices B, C for which ||CT B|| is sufficiently small, we prove that the Gabor system {EBmTCng}m,n∈Zd forms a frame, with a (non-canonical) dual Gabor frame generated by an explicitly given finite linear combination of shifts of g. For functions g of the above type and ...

Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. In this work we present methods for content based image retrieval based on texture similarity using interest points and Gabor features. Interest point detectors are used in computer vision to detect image points with special properties, which can be geometric (corn...

Gabor filters can extract multi-orientation and multiscale features from face images. Researchers have designed different ways to use the magnitude of the filtered results for face recognition: Gabor Fisher classifier exploited only the magnitude information of Gabor magnitude pictures (GMPs); Local Gabor Binary Pattern uses only the gradient information. In this paper, we regard GMPs as smooth...

Gabor schemes of multiscale image representation are useful in many computer vision applications. However, the classic Gabor expansion is computationally expensive due to the lack of orthogonality of Gabor functions. Some alternative schemes, based on the application of a bank of Gabor filters, have important advantages such as computational efficiency and robustness, at the cost of redundancy ...

Matching pursuits refers to a greedy algorithm which matches structures in a signal to a large dictionary of functions. In this paper, we present a matchingpursuit based video coding system which codes motion residual images using a large dictionary of Gabor functions. One feature of our system is that bits are assigned progressively to the highest-energy areas in the motion residual image. The...

Abstract Over the past two decades, several studies have paid great attention to biometric palmprint recognition. Recently, most methods in literature adopted deep learning due their high recognition accuracy and capability adapt with different acquisition images. However, high-dimensional data a large number of uncorrelated redundant features remain challenge computational complexity issues. F...

In this paper, we introduce a novel concept of illumination normalization for robust face recognition under different illumination conditions. The concept is extended from the Self Quotient Image (SQI) by which the 2D Gabor filter is applied instead of weighted Gaussian filter in order to increase more efficiency of the face recognition. Our experimental result, which is conducted on Yale face ...

Local Gabor features (jets) have been widely used in face recognition systems. Once the sets of jets have been extracted from the two faces to be compared, a proper measure of similarity (or distance) between corresponding features should be chosen. For instance, in the well known Elastic Bunch Graph Matching (EBGM) approach and other Gabor-based face recognition systems, the cosine distance wa...

In this paper, we present a new method for content based images retrieval (CBIR). We propose characterizing images by using global information extracted from the Fast and Adaptive Bidimensional Empirical Mode Decomposition (FAEMD), which decomposes image into a set of functions named Bidimensional Intrinsic Mode Functions (BIMF) and a residue. On the first two BIMFs, which contains a high frequ...