An Iris detection and recognition system to measure the performance of e-security
Cataloged from PDF version of thesis report.
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| التنسيق: | أطروحة |
| اللغة: | English |
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BRAC University
2016
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/5400 |
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10361-5400 |
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10361-54002022-01-26T10:04:50Z An Iris detection and recognition system to measure the performance of e-security Anwar, A.M. Shahed Biswas, Rubel Mostakim, Moin Department of Computer Science and Engineering, BRAC University Computer science and engineering E-security Cataloged from PDF version of thesis report. Includes bibliographical references (page 36-37). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Biometric is a system to identify the individual human by extracting distinguishable features from that particular person. Among many other biometric systems the iris recognition system is most accurate one right now since it has a high recognition rate. This thesis is proposing a system with four major division in the process: Segmentation, Normalization, Feature encoding and Matching. At early stage, Histogram equalization is used on the input image and to detect the objects present in the image, Canny Edge Detection model is employed. Inner circular boundary and center of the pupil in the Iris region is detected by using Hough Transformation. A circle is drawn with the help of Mid-Point Circle drawing algorithm which center is as same as pupil center and hence, outer circular boundary of the iris region can be detected. For the normalization, Daugman’s Rubber Sheet model is used and in the feature encoding process, instead of Gabor filter to extract feature from the iris image, Log-Gabor filter is used in this thesis since it has non-zero DC component advantage over Gabor filter. Last but not the least, Hamming Distance is used to compare two binary iris template for matching purpose. A.M. Shahed Anwar B. Computer Science and Engineering 2016-05-26T13:18:42Z 2016-05-26T13:18:42Z 2016 4/21/2016 Thesis ID 12201100 http://hdl.handle.net/10361/5400 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 37 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Computer science and engineering E-security |
| spellingShingle |
Computer science and engineering E-security Anwar, A.M. Shahed An Iris detection and recognition system to measure the performance of e-security |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Biswas, Rubel |
| author_facet |
Biswas, Rubel Anwar, A.M. Shahed |
| format |
Thesis |
| author |
Anwar, A.M. Shahed |
| author_sort |
Anwar, A.M. Shahed |
| title |
An Iris detection and recognition system to measure the performance of e-security |
| title_short |
An Iris detection and recognition system to measure the performance of e-security |
| title_full |
An Iris detection and recognition system to measure the performance of e-security |
| title_fullStr |
An Iris detection and recognition system to measure the performance of e-security |
| title_full_unstemmed |
An Iris detection and recognition system to measure the performance of e-security |
| title_sort |
iris detection and recognition system to measure the performance of e-security |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/5400 |
| work_keys_str_mv |
AT anwaramshahed anirisdetectionandrecognitionsystemtomeasuretheperformanceofesecurity AT anwaramshahed irisdetectionandrecognitionsystemtomeasuretheperformanceofesecurity |
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