Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM
In order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and energy of curvelet sub-band coefficients in differe...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2016-07-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016200/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529132789268480 |
|---|---|
| author | Zhenhong HE |
| author_facet | Zhenhong HE |
| author_sort | Zhenhong HE |
| collection | DOAJ |
| description | In order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and energy of curvelet sub-band coefficients in different scales and different orientations were extracted.The weights of sub-bands were estimated by generalized Gaussian distribution.The feature vectors with stronger classification ability had large weight,which were calculated to constitute feature vectors of iris image.Finally,feature vectors were matched and recognized by classifier combined with fuzzy support vector machine and binary decision tree.The algorithm performances were tested with UBIRIS and CASIA iris database.Simulation results show that the proposed algorithm has higher recognition accuracy rate and efficiency.It is feasibility. |
| format | Article |
| id | doaj-art-eb00b7bb3f594cf58cc5625442d4e6bc |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-eb00b7bb3f594cf58cc5625442d4e6bc2025-01-15T03:25:11ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-07-013212613159801144Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVMZhenhong HEIn order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and energy of curvelet sub-band coefficients in different scales and different orientations were extracted.The weights of sub-bands were estimated by generalized Gaussian distribution.The feature vectors with stronger classification ability had large weight,which were calculated to constitute feature vectors of iris image.Finally,feature vectors were matched and recognized by classifier combined with fuzzy support vector machine and binary decision tree.The algorithm performances were tested with UBIRIS and CASIA iris database.Simulation results show that the proposed algorithm has higher recognition accuracy rate and efficiency.It is feasibility.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016200/generalized Gaussian distributioniris recognitioncurvelet transformfuzzy support vector machinebinary decision tree |
| spellingShingle | Zhenhong HE Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM Dianxin kexue generalized Gaussian distribution iris recognition curvelet transform fuzzy support vector machine binary decision tree |
| title | Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM |
| title_full | Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM |
| title_fullStr | Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM |
| title_full_unstemmed | Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM |
| title_short | Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM |
| title_sort | iris recognition based on generalized gaussian distribution fdct wrap and fsvm |
| topic | generalized Gaussian distribution iris recognition curvelet transform fuzzy support vector machine binary decision tree |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016200/ |
| work_keys_str_mv | AT zhenhonghe irisrecognitionbasedongeneralizedgaussiandistributionfdctwrapandfsvm |