With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the past decade. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and r...

Many military and homeland defense missions require automated situation awareness in maritime environments. A major element of these missions is automatic detection, tracking, and recognition of ships as they transit harbors. We advocate the use of optical sensors in an Automated Target Recognition (ATR) system to accomplish these missions. This paper reports on the development of maritime opti...

ABSTARCT Automated face recognition has industrialized a major field of Interest Face Recognition is the typical process of identification of a individual by their facial image. This effective technique Making it possible to use the facial images of a person to authenticate him into a protected system, for criminal identification, for passport verification, entrance control in buildings, access...

This paper is about an attempt to unravel the classical problem of automated human face recognition. A near realtime, fully automated computer vision system was developed to detect and recognise expressionless, frontalview human faces in static images. In the implemented system, automated face detection was achieved using a deformable template algorithm based on image invariants. The natural sy...

A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is designed to distinguish humans from machines. Most of the existing tests require reading distorted text embedded in a background image. However, many existing CAPTCHAs are either too difficult for humans due to excessive distortions or are trivial for automated algorithms to solve. These CAPTCHAs also suff...

Glaucoma is one of the major causes for blindness with a high rate of unreported cases. To reduce this number, screening programs are performed. However, these are characterized by a high workload for manual and cost-intensive assessment. Computer-aided diagnostics (CAD) to perform an automated pre-exclusion of normals might help to improve program’s efficiency. This chapter reviews and discuss...

This paper outlines the history of biometrics for personal identification, current status initial biological fingerprint techniques digital chest radiography, and patient verification during medical imaging, such as computed tomography magnetic resonance imaging. Automated image recognition identification developed clinical images without metadata could also be applied to victims in mass disast...

The development of tools for the automated identification of species will reduce the burden of routine identifications conducted by many biologists. The design of these tools is difficult because it depends on the proper extraction of those most relevant characteristics of the image, namely, those unequivocally identify its species. The appropriate software for such extraction does not exist in...

A paper currency recognition system has a wide range of applications such as self receiver machines for automated teller machines and automatic good-selling machines. In this paper a new paper currency recognition system based on Fourier-Mellin transform, Markovian characteristics and Support Vector Machine (SVM) is presented. In the first, a pre-processing algorithm by Fourier-Mellin transform...