Template matching analysis using neural network for mobile iris recognition system
Today, the use of mobile phone among individuals with an advanced technology, acquisition and computation resources is crucial in securing personal data and services as well as in identifying a person. Recently, there has been growing interest of researchers in iris recognition using mobile as an ac...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IOP Publishing
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/27716/1/57.%20Template%20matching%20analysis%20using%20neural%20network%20for%20mobile.pdf http://umpir.ump.edu.my/id/eprint/27716/2/57.1%20Template%20matching%20analysis%20using%20neural%20network%20for%20mobile.pdf |
| _version_ | 1825813219048947712 |
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| author | Anis Farihan, Mat Raffei Siti Zulaikha, Dzulkifli Nur Shamsiah, Abdul Rahman |
| author_facet | Anis Farihan, Mat Raffei Siti Zulaikha, Dzulkifli Nur Shamsiah, Abdul Rahman |
| author_sort | Anis Farihan, Mat Raffei |
| collection | UMP |
| description | Today, the use of mobile phone among individuals with an advanced technology, acquisition and computation resources is crucial in securing personal data and services as well as in identifying a person. Recently, there has been growing interest of researchers in iris recognition using mobile as an acquisition device to capture an eye image in a non-cooperative environment (static motion and at different distances). However, the use of mobile as an acquisition device still facing some noise factors because the quality of image captured in this environmental condition is low compared to a camera device. Besides, low awareness of user in handling the mobile devices and lack technical experiences in capturing iris images with this environmental condition is generally uncontrolled contribute to producing unpredictable low quality of eye images. Due to these issues, it led to incorrect segmentation of iris boundaries and subsequently lowered the ability to match the iris features. Hence, this condition contributes to performance degradation of iris recognition system. Therefore, to improve the ability to match the iris features in mobile iris recognition system, a combination with neural network is proposed. The iris database used to test against these methods is CASIA-Iris-M1-S2. The proposed method, a combination of Hamming distance and neural network has achieved a better result which 98.77% in term of accuracy for mobile iris recognition under non-cooperative environment. |
| first_indexed | 2024-03-06T12:40:45Z |
| format | Conference or Workshop Item |
| id | UMPir27716 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:40:45Z |
| publishDate | 2020 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir277162020-06-16T07:59:04Z http://umpir.ump.edu.my/id/eprint/27716/ Template matching analysis using neural network for mobile iris recognition system Anis Farihan, Mat Raffei Siti Zulaikha, Dzulkifli Nur Shamsiah, Abdul Rahman QA76 Computer software Today, the use of mobile phone among individuals with an advanced technology, acquisition and computation resources is crucial in securing personal data and services as well as in identifying a person. Recently, there has been growing interest of researchers in iris recognition using mobile as an acquisition device to capture an eye image in a non-cooperative environment (static motion and at different distances). However, the use of mobile as an acquisition device still facing some noise factors because the quality of image captured in this environmental condition is low compared to a camera device. Besides, low awareness of user in handling the mobile devices and lack technical experiences in capturing iris images with this environmental condition is generally uncontrolled contribute to producing unpredictable low quality of eye images. Due to these issues, it led to incorrect segmentation of iris boundaries and subsequently lowered the ability to match the iris features. Hence, this condition contributes to performance degradation of iris recognition system. Therefore, to improve the ability to match the iris features in mobile iris recognition system, a combination with neural network is proposed. The iris database used to test against these methods is CASIA-Iris-M1-S2. The proposed method, a combination of Hamming distance and neural network has achieved a better result which 98.77% in term of accuracy for mobile iris recognition under non-cooperative environment. IOP Publishing 2020-02 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27716/1/57.%20Template%20matching%20analysis%20using%20neural%20network%20for%20mobile.pdf pdf en http://umpir.ump.edu.my/id/eprint/27716/2/57.1%20Template%20matching%20analysis%20using%20neural%20network%20for%20mobile.pdf Anis Farihan, Mat Raffei and Siti Zulaikha, Dzulkifli and Nur Shamsiah, Abdul Rahman (2020) Template matching analysis using neural network for mobile iris recognition system. In: The 5th International Conference on Software Engineering & Computer Systems (ICSECS) , 25 - 27 Sep. 2019 , Vistana Hotel, Kuantan, Pahang, Malaysia. pp. 1-8., 769. ISSN 1757-8981 (Print); 1757-899X (Online) (Published) https://doi.org/10.1088/1757-899X/769/1/012024 |
| spellingShingle | QA76 Computer software Anis Farihan, Mat Raffei Siti Zulaikha, Dzulkifli Nur Shamsiah, Abdul Rahman Template matching analysis using neural network for mobile iris recognition system |
| title | Template matching analysis using neural network for mobile iris recognition system |
| title_full | Template matching analysis using neural network for mobile iris recognition system |
| title_fullStr | Template matching analysis using neural network for mobile iris recognition system |
| title_full_unstemmed | Template matching analysis using neural network for mobile iris recognition system |
| title_short | Template matching analysis using neural network for mobile iris recognition system |
| title_sort | template matching analysis using neural network for mobile iris recognition system |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/27716/1/57.%20Template%20matching%20analysis%20using%20neural%20network%20for%20mobile.pdf http://umpir.ump.edu.my/id/eprint/27716/2/57.1%20Template%20matching%20analysis%20using%20neural%20network%20for%20mobile.pdf |
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