Print ISSN: 1811-9212

Online ISSN: 2617-3352

Keywords : image processing


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.

Hand Writing Numbers detection using Artificial Neural Networks

Yasmin Abdul Ghani Abdul Kareem; Dr. Ahmed Khalaf Hamoudi; Ahmad Saeed Mohammad

IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING, 2013, Volume 13, Issue 2, Pages 19-25

Abstract –A fast, simple and effective method to recognize different hand writing
numbers is presented. Hand writing recognition took high attention in the recent years
by researcher of the intelligent systems, since it can be used in many applications such
as car plate recognition and bank account checking. The purpose of this paper is to
develop a method for hand writing numbers detection by using artificial neural network.
The suggested work is divided mainly into four stages and is proposed to resolve the
digits number (i.e., hand writing numbers). Image sample of hand writing numbers is
acquired by a digital camera or scanner, and then it is converted by using the suggested
work which is consisted of four stages to resolve digits. Artificial neural network
(ANN) was applied to recognize the hand writing numbers. Learning method of the
ANN is back propagation and all process handled by MATLAB language.