Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Biometrics

Segmentation Approach for a Noisy Iris Images Based on Hybrid Techniques

Hala J. Abdelwahed; Ashwaq T. Hashim; Ahmed M. Hasan

Engineering and Technology Journal, 2020, Volume 38, Issue 11, Pages 1684-1691
DOI: 10.30684/etj.v38i11A.450

Iris recognition indicates the procedure of recognizing humans based on their both left and right iris patterns. Nowadays there is rapid progress in realizing an old dream of developing a user-friendly recognition system. Most of the new projects became a nightmare of security of the system. The prosperity of iris recognition aside from its attractive physical characteristics is led to developing an efficient feature extractor to attain the required objective of recognition. Fingerprint, facial, and iris biometric techniques are developed widely for identifying processing most boarded management points, access control, and military checkpoints. Hybridization between Daugman’s Integro Differential Operator (IDO) with edge base methods was realized through taking the advantages of the good qualities of both methods so as to enhance the precision and reduce the required time. The proposed hybrid recognition system is very reliable and accurate. UBIRIS version 1 dataset was utilized in the conducted simulation which indicates the distinctions of the hybrid method in providing good performance and accuracy with reducing the time consuming of iris localization by approximately 99% compared with IDO and edge based methods.

E-Passport Recognition System Based on ANNs

Lobna Anwar Mohammed; Muzhir Shaban Al-Ani; Ali Jbaeer Dawood

Engineering and Technology Journal, 2016, Volume 34, Issue 6, Pages 860-870

Nowadays it is more necessary to perform the identity check of passengers quickly and reliably to prevent unauthorized border crossing, and limit the use of forger passport. This paper concentrated on the design E-passport using two main technologies which are biometric and RFID technologies. Biometric features are used to identify passport holder and the RFID is used to store andtransmit these features as required. This paper proposes a new approach to design and implement a robust biometric recognition system that could be used in e-passport system to identify and recognize person that own the identical e-passport. The ANN is used for recognition persons in this proposed system which was able to recognize persons registered in database in rate up to 81% and the percentage of fail in recognition was 19%.

Fingerprint Recognition Using Gabor Filter with Neural Network

Ekbal H.Ali; Hussam A.A.Ali; Hanady a.Jaber

Engineering and Technology Journal, 2014, Volume 32, Issue 2, Pages 339-353
DOI: 10.30684/etj.32.2A.5

The automated classification and matching of fingerprint images has been a challenging problem in pattern recognition over the past decades. This paper proposes a method to detect the rotation region based on Estimate Global Region (EGR) that has the maximum rotation region. The Gabor filter based feature is applied for extracting fingerprint features from gray level images without preprocessing. The fingerprint recognition is developed by neural networks with adaptive learning rate. The paper contains a comparison between using EGR algorithm and without using EGR. The Gabor filter without EGR gives the best result for the fingerprint recognition with outrotation while the rotation of the fingerprint with angles (5o,10o and 20o) gives worse results in fingerprint recognition. The proposalmethod gives best result in rotation the fingerprint image with and without the rotation of the same angles. The result of the correlation for the proposalmethod is 99%.

Spectral Eigenface Representation for Human Identification

Hana; a M. Salman

Engineering and Technology Journal, 2010, Volume 28, Issue 19, Pages 5960-5972

Human identification based on face images, as physical biometric means, plays an
imperative role in many applications area. The methods for human identification using
face image uses either part of the face, all face, or mixture from these methods, in either
time domain or frequency domain. This paper investigate the ability to implement the
eigenface in frequency domain, the result spectral eigenface is utilize as a feature vector
means for human identification. The converting from eigenface implementation in time
domain, into spectral eigenface implementation in frequency domain, is based on
implemented the correlation by using FFT. The Min-max is invoked as normalization
techniques that increase spectral eigenface robustness to variations in facial geometry
and illumination. Two face images are contrast in terms of their correlation distance. A
threshold (10.50x107) is used to restrict the impostor face image from being identified.
The experimental results point up the effectiveness of a new method in either using
varying (noisy images, unknown image, face expressions, illumine, and scale s), with
identification value of 100%.

Palmprint Characterization Using Multi-wavelet Transform for Human Identification

Hana; a M. Salman

Engineering and Technology Journal, 2009, Volume 27, Issue 3, Pages 405-417

The human hand presents the source for a numerous of physiological biometric
features, from these are palmprint, hand geometry, finger geometry and the vein pattern on
the dorsum of the hand, are mostly used in many fields for different applications. Lines and
points are extracted from palms for individual identification in original image or frequency
space. In this paper, a preprocessing to extract the central part from the input palmprint
image, next a 2-D multi-wavelet transform is used to convert the palmprint image into 16
sub-bands, and the texture feature vectors, energy and entropy for each of the 16 sub-bands
is computed and normalized with min-max method for individual identification. The
correlation distance is used as a similarity measure. The experimental results point up the
effectiveness of a method in either using low resolution or noisy images