Print ISSN: 1811-9212

Online ISSN: 2617-3352

Keywords : Fingerprint


Design and development of E-passport scheme using multi encryption biometric information

Israa Shaker Tawfic

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2019, Volume 19, Issue 1, Pages 27-34

within the next year, travelers from difference world may be holding
a new form of a passport.The electronic passport has been widespread in recent
times, all around the world, since the e-passports can save biometric
identifiers.To forbidden the illegal entry of passengers into a particular state
and stop the use of fake documents, an e-passport is used for more precise
identification of a person.The paper used the image of the e-Passport holder as
a cover image to hide the fingerprint inside it within the operation of e-Passport
design. This paper suggests also an encryption security analysis of the epassport
representing by using Arnold transform on fingerprint and add a
privet key to encrypted data that are aimed to provide more security to the
biometric information to protecting the e-passport.Our paper focuses on the
security features which are suggested to make the e-Passport safer and protect
it from unauthorized access.

Rule Induction Technique for Fingerprint Identification

Awad Kadhim Hammoud; Hattam Nahi Muhaisen

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2013, Volume 13, Issue 3, Pages 65-72

Abstract – Pattern recognition problems computer based are very important and
essential in our real life. There are many approaches have been used in pattern
recognition problem such as: Fourier Descriptor, Moment Invariant. But the main defect
of these methods is the long time processing and large computer space. This paper,
presents a new approach Artificial Intelligence, of Rule Induction technique. By this
approach, the essential and specific features of object have been extracted from contour
of object to be recognized. The characteristic of these features are easy computed and
requires fewer amounts of time and space, then high speed in recognition and decision.
Such features are (number of curves inside the fingerprint, number of check point for
each curve). It gives good and accurate results. We test the performance of this system
using many contours of fingerprint, and get good and accurate results.