Showing papers on "Biometrics published in 1970"

Personal Verification and Identification Using Hand Geometry

Abstract: This research proposes a study of personal verification and identification using hand geometry. Hand geometry used in this research consists of the lengths and widths of fingers and the width of a palm. Users can place their hands freely without the need for pegs to fix the hand placement. In this research, systems using six different distance functions were tested and compared. Test data are from 96 users. Among the six different distance functions, S1 gives the best results in both verification and identification.

Biometric Identification Based on Iris Recognition

Abstract: This paper proposes a novel algorithm for the automatic classification of iris images using a 2_D (two Dimension) Variation to estimate the fractal dimensions of the iris. The new technique divided in to three main step. In the first step the segmentation process in iris recognition is used to localize the circular iris and pupil regions, excluding eyelids and eyelashes. The extracted iris region is normalized into a squares block with constant dimensions. Biometric Identification Based on Iris Recognition. 146 In the second step, the feature extraction techniques are improved and implemented. A new feature extraction technique based on a 2_D Variation to estimate the fractal dimensions is used. Finally The Normalized Correlation is used to classify the iris features. The techniques performed with perfect segmentation on a set of 995 iris images of greyscale eye images from MMU database. The as False Accept Rate (FAR) and False Reject Rate (FRR) and (RR) recognition rate are calculated for this technique. The results of the algorithm proved that. The a 2D (two Dimension) Variation to estimate the fractal dimensions method it is a good feature extraction technique. It gives FAR=(1.02) and FRR= (0.52) and a high recognition rate is 98.45%..

Health Biometrics: Ready to be a Smart Internet Technology?

Abstract: Health informatics is increasingly of interest due to its potential in making our health care systems safer. The term ‘health or medical informatics’ refers to the “application of information technologies to optimise information management within all aspects of health care delivery\" [1]. A research project has been initiated to explore the effectiveness of hospital clinicians and their professional group by developing tools to support electronic wireless access to medical literature, patient records and hospital databases. PDAs and other portable devices are considered as technologies that enable such access, but their suitability for clinicians depends on a range of organisational and technical issues including privacy and security of the systems. This paper introduces a selection of different technologies including signature recognition and a range of fingerprint scanning technologies designed for authentication and authorisation and critically evaluates their merits in accessing the health care systems.