Security of iris recognition and voice recognition techniques
Other Title(s)
التقنيات الأمنية لتميز بين حدقية العين و الصوت
Author
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 26, Issue 1 (30 Apr. 2013), pp.346-357, 12 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2013-04-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract AR
تقنيات التحقق من الهوية يتم استخدامه بشكل كبير نظرا لأمنها المحسن الذي يقلل من حالات الغش و السرقة.
التقنيات البيومترية تستخدم مزايا مادية في تحديد هوية الأفراد شرحت و قورنت تقنيتي تحقق من الهوية و هي تقنية تمييز القزحية, و تقنية تمييز الصوت, تقنية تمييز القزحية تميز الأفراد من خلال تحليل الأنماط الرئيسة في بنية قزحية بينما تقنية تمييز الصوت تميز الأفراد اعتمادا على خصائص الصوت الفريدة أو كما تسمى بصمة الصوت.
نتائج المقارنة أشارت أن معدل دقة هذه التقنيتين هي 99.83% لتقنية تمييز القزحية, و 98% لتقنية تمييز الصوت.
و من ثم, تقنية تمييز القزحية توفر دقة و أمنية أكثر من تقنية تمييز الصوت.
Abstract EN
Recently, biometric technologies are used widely due to their improved security that decreases cases of deception and theft.
The biometric technologies use physical features and characters in the identification of individuals.
The most common biometric technologies are: Iris, voice, fingerprint, handwriting and hand print.
In this paper, two biometric recognition technologies are analyzed and compared, which are the iris and sound recognition techniques.
The iris recognition technique recognizes persons by analyzing the main patterns in the iris structure, while the sound recognition technique identifies individuals depending on their unique voice characteristics or as called voice print.
The comparison results show that the resultant average accuracies of the iris technique and voice technique are 99.83 % and 98 %, respectively.
Thus, the iris recognition technique provides higher accuracy and security than the voice recognition technique.
American Psychological Association (APA)
Rauf, Iyad Rifat. 2013. Security of iris recognition and voice recognition techniques. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 26, no. 1, pp.346-357.
https://search.emarefa.net/detail/BIM-337071
Modern Language Association (MLA)
Rauf, Iyad Rifat. Security of iris recognition and voice recognition techniques. Ibn al-Haitham Journal for Pure and Applied Science Vol. 26, no. 1 (Apr. 2013), pp.346-357.
https://search.emarefa.net/detail/BIM-337071
American Medical Association (AMA)
Rauf, Iyad Rifat. Security of iris recognition and voice recognition techniques. Ibn al-Haitham Journal for Pure and Applied Science. 2013. Vol. 26, no. 1, pp.346-357.
https://search.emarefa.net/detail/BIM-337071
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 352-356
Record ID
BIM-337071