Security of iris recognition and voice recognition techniques

Other Title(s)

التقنيات الأمنية لتميز بين حدقية العين و الصوت

Author

Rauf, Iyad Rifat

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