A range of methodologies has been proposed to derive generalised forms of buildings at coarser scales. In this paper, we explore the use of simple pattern matching algorithms in order to select from a set of templates, a building outline that best characterises a more detailed form. This template matching process is used to simplify the form of rural buildings (farmsteads) in Danish mapping, an...

We present a novel template matching framework for detecting geometrically transformed objects. A template is a simplified representation of the object of interest by a set of pixel groups of any shape, and the similarity between the template and an image region is derived from the F-test statistic. The method selects a geometric transformation from a discrete set of transformations, giving the...

In this paper we propose a template matching approach to address the pose problem in face verification, which neither synthesizes the face image, nor builds a model of the face image. Template matching is performed using edginess-based representation of face images. The edginess-based representation of face images is computed using onedimensional (1-D) processing of images. An approach is propo...

Eye detection is important for finding locations of the face landmarks such as nose, ear and mouth on the face. Template matching and normalized cross correlation techniques are used for eye detection. The template matching is better than appearance and feature based method for eye detection in terms of accuracy. The experiment is performed on chufs database of face image for detection of eyes....

For cryptographic algorithms, secret keys should be generated randomly as the security of the system depends on the key, therefore generation of random sequences is vital. Randomness testing is done by means of statistical randomness tests. In this work, we show that the probabilities for the overlapping template matching test in the NIST test suite is only valid for a specific template and nee...

Template matching is a technique widely used for finding patterns in digital images. An efficient template matching algorithm should be able to detect template instances that have undergone geometric transformations. Similarly, a color template matching should be able to deal with color constancy problem. Recently we have proposed a new grayscale template matching algorithm named Ciratefi, inva...

Template matching is a computationally intensive problem aimed at locating a template within a image. When dealing with images having more than one channel, the computational burden becomes even more dramatic. For this reason, in this paper we investigate on a methodology to speed-up template matching on multi-channel images without deteriorating the outcome of the search. In particular, we pro...