Showing papers on "Biometrics published in 1994"

Vital signs of identity [biometrics]

Abstract: Biometrics is emerging as the most foolproof method of automated personal identification in demand in an ever more automated world. Biometric systems are automated methods of verifying or recognizing the identity of a living person on the basis of some physiological characteristic, like a fingerprint or iris pattern, or some aspect of behavior, like handwriting or keystroke patterns. This paper describes the range of biometric systems in development or on the market including: handwriting; fingerprints; iris patterns; human faces; and speech. >

Apparatus for verifying an identification card and identifying a person by means of a biometric characteristic

Abstract: A biometric is a substantially stable physical or behavioral characteristics of a person which can be automatically measured and characterized for comparison. In accordance with the subject invention an identification card includes an encrypted representation of the biometric characteristic, which may be a finger print or a description of the manner in which the person signs his or her name, including the order and velocity in which strokes comprising a signature are written. The identification card is validated, and the person identified by an apparatus including a scanner which simultaneously scans two fields. The card is position in the first field and the biometric (e.g. a thumbprint) is simultaneously positioned in the second field and both are scanned at once, to produce a composite signal including both the code of representation and the scanned biometric. A microprocessor separates the composite signal, decodes the coded representation, and compares it to the stand biometric to validate the card. By simultaneously scanning both the coded representation and the biometric with a single scanner the cost of the apparatus is reduced as is the opportunity for a breach of security.

Biometric recognition: our hands, eyes, and faces give us away

Abstract: The author considers how there are a growing number of applications of automated fingerprint identification. He discusses several other biometric methods of identification, including hand, facial, and eye recognition. For some applications, these methods are better than fingerprint identification, since they require smaller data signatures, may cost less, and avoid the criminal stigma of fingerprinting. >

Practical implementation of biometrics based on hand geometry

Abstract: There are various implementations of biometric verification technology utilising parameters such as hand geometry, fingerprints, voice patterns, scanned retinas, vein patterns and others. Some are more biased towards behavioural characteristics such as signature or keystroke verification. The author considers the implementation of biometrics based on hand geometry.

Automated coincident sequencing for fingerprint verification

Abstract: The increasing need for security in present day society has generated considerable interest in the use of biometrics. This has renewed research in the area of automatic fingerprint recognition and the related computer technology capable of coping with the complex nature and speed requirements of the task. Due to the complexity of the problem, there has been limited success in obtaining a satisfactory sytem. In this paper, a high speed and low cost system for scanning, identifying and coding fingerprints is described. The system automates the manual method for the positive identification of fingerprints using a technique called coincident sequencing which is legally and internationally accepted. >

Biometric Identification Verification Technology Status and Feasibility Study

Abstract: : DoD cost and personnel reductions drive requirements for an entry/ access control system capable of identifying and verifying the identity of persons with a high degree of confidence and without a man in the decision loop. Operational Performance Requirements (OPR) were assembled from the SOW and Service requirements documents. An extensive search for biometric information in the DTIC and NTIS databases was conducted. The capabilities of biometric identification systems available on the market and in known R&D programs were verified wherever possible by independent tests and evaluations. Technologies included were fingerprint, palm print, hand geometry, signature, voice, retina scan, facial recognition and iris scan. The study found no system, technology or methodology which can currently meet all of the objectives and requirements specified in the SOW. Of all the technologies/systems under development, only the IriScan process appears capable, with further development, of meeting the desired objectives and OPRs. Biometric, Recognition, Access control, Identification.