{"title":"Improving ACSTL Iris Segmentation Method","authors":"Cristina M. Noaica","doi":"10.1109/SYNASC.2018.00076","DOIUrl":null,"url":null,"abstract":"ACSTL is a segmentation method that was initially developed for iris images that are captured with an LG2200-iris sensor. ACSTL provided a 0.326 segmentation error on the entire LG2200 dataset, but a much higher error for images from other infrared sensors, such as a close-up camera (CASIA Interval dataset). This paper shows a method to improve ACSTL in terms of both segmentation performance and the average execution time per image. The improvements are brought to the image processing and to the iris boundary selection algorithm of ACSTL.","PeriodicalId":273805,"journal":{"name":"2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2018.00076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
ACSTL is a segmentation method that was initially developed for iris images that are captured with an LG2200-iris sensor. ACSTL provided a 0.326 segmentation error on the entire LG2200 dataset, but a much higher error for images from other infrared sensors, such as a close-up camera (CASIA Interval dataset). This paper shows a method to improve ACSTL in terms of both segmentation performance and the average execution time per image. The improvements are brought to the image processing and to the iris boundary selection algorithm of ACSTL.
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