Biometric technologies are automated methods of verifying or recognizing. This work is particularly targeted towards the SURF,HARRIS and MSER calculations for biometric fingerprint calculations .These three features are used parallel to get the better identification results, FAR is proved 0 with the three algorithms and FRR is 1 with the same i.e. SURF, HARRIS and MSER and matching the maximum ...

Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are ine!ective in these situations. The adaptive simulated annealing (ASA) o!ers a viable optimization tool for tackling these di$cult nonlinear optimization problems. Three applications, maximum likelihood (ML) joint channel and data estimation, in"nite-impulse-response...

The construction of a high-resolution panoramic image from a sequence of input overlapping images of the same scene is called image stitching/mosaicing. It is considered as an important, challenging topic in computer vision, multimedia, and computer graphics. The quality of the mosaic image and the time cost are the two primary parameters for measuring the stitching performance. Therefore, the ...

As important components of intelligent transportation system, lane detection and tracking (LDT) and lane departure warning (LDW) systems have attracted great interest from the computer vision community over the past few years. Conversely, lane markings recognition (LMR) systems received surprisingly little attention. This thesis proposed a real-time lane assisting framework for intelligent vehi...

This paper investigates the coincidence between six interest point detection methods (SIFT, MSER, Harris-Laplace, SURF, FAST & Kadir-Brady Saliency) with two robust “bottom-up” models of visual saliency (Itti and Harel) as well as “task” salient surfaces derived from observer eye-tracking data. Comprehensive statistics for all detectors vs. saliency models are presented in the presence and abse...

Email: [email protected] [email protected] Abstract: Content-Based Image Retrieval (CBIR) has received an extensive attention from researchers due to the rapid growing and widespread of image databases. Despite the massive research efforts consumed for CBIR, the completely satisfactory results have not yet been attained. In this article, we offer a new CBIR technique that relies on extracting...

1. INTRODUCTION Multisensor image registration is necessary in many applications of remote sensing imagery, whose crucial problem is how to establish the correspondence between the features extracted from the reference and input images. Most existing methods only consider how to extract features, however, the quality of the features are ignored. In this paper, we combine scale invariant feature...

Reading text from photographs is a challenging problem that has received a significant amount of attention. Two key components of most systems are (i) text detection from images and (ii) text recognition, and many methods have been introduced to design better feature representations and models for both. Scene text recognition has gained significant attention from the computer vision community i...

In the search and rescue efforts soon after disaster such as floods, the time critical activities of survivor detection and localization can be solved by using thermal long-wave infrared (LWIR) cameras which are more robust to illumination and background textures than visual cameras. This particular problem is especially challenging due to the limited computational power available on-board comm...

Image processing for autonomous robots is nowadays very popular. In our paper, we show a method how to extract information from a camera attached on a robot to acquire locations of targets the robot is looking for. We apply maximally stable colour regions (a method originally used for image matching) to obtain an initial set of candidate regions. This set is then filtered using application spec...