@article {200,
	title = {Smart electronic visitor information management system with biometric verification},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2009},
	pages = {318 - 325},
	abstract = {Smart Electronic Visitor Information System (SEVIMS) is an application to replace traditional visitor registration and information management activities. SEVIMS able to record visitor information during visitor registration by using visitor{\textquoteright}s Malaysia Government Multipurpose Card (MyKad). An implementation of mobile smart card reader with biometric verification has increase the high level of security and access control. With additional features, the identity of visitor can be verify based on matching of his/her thumbprint with the thumbprint image stored in MyKad. The benefits of sophisticated SEVIMS are enhancing the level of security enforced in premises, providing an organized view of visitor records and reducing the time spent on managing visitor information.},
	keywords = {Biometric, Fingerprint, MyKad, SEVIMS, Smart card},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77953251164\&partnerID=40\&md5=c75349813dbd8d0247a33bb80770adc0},
	author = {Noraziah, A. and Noorhuzaimi, M.N. and Junaida, S.}
}
@article {93,
	title = {A non reference fingerpint image validity via statistical weight calculation},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Export Date: 10 July 2014},
	month = {2007},
	pages = {220 - 224},
	abstract = {Clarity of fingerprint image structure is crucial for many fingerprint applications, as well as the performance of built systems which relies on the validity and quality of captured images. Validity check will eliminate invalid images before starting the life cycle of fingerprint metadata enrolling for system processing cycle; therefore the overall benchmarking system accuracy will not be affected by rejecting an invalid image before getting in the system cycle. In this paper we propose a validity check algorithm (VCA). The VCA is applied to the base image eiement statistical weight calculation because the image element (pixel) describes an image object with the contrast, brightness, clarity and noising attributes. Our algorithm depends on fingerprint object segmentation, background subtraction, total image thresholding and pixel weight calculation. A VTC200ODB1_B, TIMA databases was used to evaluate the VCA and it has been compared with NIST fingerprint image quality results. Correlation results indicate that the proposed algorithm is feasible in detecting low quality as well as non-fingerprint images.},
	keywords = {Fingerprint, Image quality, Image subtraction, Otsu threshold, Segmentation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44949123442\&partnerID=40\&md5=c56872a67fd18e70e84324f95df34eaf},
	author = {Altarawneh, M.S. and Khor, L.C. and Woo, W.L. and Dlay, S.S.}
}
