Academic Journal
Evaluating the impact of image preprocessing on iris segmentation
العنوان: | Evaluating the impact of image preprocessing on iris segmentation |
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المؤلفون: | José F. Valencia-Murillo, Daniel A. Poveda-Sendales, Daniel F. Valencia-Vargas |
المصدر: | TecnoLógicas, Vol 17, Iss 33, Pp 31-41 (2014) |
بيانات النشر: | Instituto Tecnológico Metropolitano, 2014. |
سنة النشر: | 2014 |
المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) |
مصطلحات موضوعية: | Algoritmos, biometría, imágenes del iris, preprocesamiento de imágenes, segmentación., Technology, Engineering (General). Civil engineering (General), TA1-2040 |
الوصف: | Segmentation is one of the most important stages in iris recognition systems. In this paper, image preprocessing algorithms are applied in order to evaluate their impact on successful iris segmentation. The preprocessing algorithms are based on histogram adjustment, Gaussian filters and suppression of specular reflections in human eye images. The segmentation method introduced by Masek is applied on 199 images acquired under unconstrained conditions, belonging to the CASIA-irisV3 database, before and after applying the preprocessing algorithms. Then, the impact of image preprocessing algorithms on the percentage of successful iris segmentation is evaluated by means of a visual inspection of images in order to determine if circumferences of iris and pupil were detected correctly. An increase from 59% to 73% in percentage of successful iris segmentation is obtained with an algorithm that combine elimination of specular reflections, followed by the implementation of a Gaussian filter having a 5x5 kernel. The results highlight the importance of a preprocessing stage as a previous step in order to improve the performance during the edge detection and iris segmentation processes. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English Spanish; Castilian |
تدمد: | 0123-7799 2256-5337 |
Relation: | http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/599; https://doaj.org/toc/0123-7799; https://doaj.org/toc/2256-5337 |
URL الوصول: | https://doaj.org/article/1db6710720aa4d3d87c866e3d44999b9 |
رقم الانضمام: | edsdoj.1db6710720aa4d3d87c866e3d44999b9 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 01237799 22565337 |
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