Matching fingerface based on area under the highest peaks curve
Passwords are no longer valid for accessing personal resources, because it is easy to forge them, in either small or big systems. Today’s challenge is to find other alternatives for passwords. Biometric is one of the ways, by mean of using human characteristics in accessing system resources. Fingerp...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45776/1/Matching%20fingerface%20based%20on%20area%20under%20the%20highest%20peaks%20curve.pdf |
| _version_ | 1796974575247949824 |
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| author | Elmadani, Ahmed Baba Ramli, Abdul Rahman |
| author_facet | Elmadani, Ahmed Baba Ramli, Abdul Rahman |
| author_sort | Elmadani, Ahmed Baba |
| collection | UPM |
| description | Passwords are no longer valid for accessing personal resources, because it is easy to forge them, in either small or big systems. Today’s challenge is to find other alternatives for passwords. Biometric is one of the ways, by mean of using human characteristics in accessing system resources. Fingerprint and face can be used to secure systems, because fingerprint is a unique, un-repeatable. Using it with face it can be widely acceptable. This paper present a model of fingerprint and face recognition to gain access to sensitive information for only authorized person. The method is based on recognition of the concatenated fingerprint and face images known as fingerface. A small size of fingerface images are used to extract information. Area under the curve resulted from connecting highest peaks are used in matching parameter. Other parameters are used to ensure a perfect matching. Our method takes into account a minimum image size and minimum number of searches. As a result we get fast in matching process. |
| first_indexed | 2024-03-06T08:59:02Z |
| format | Conference or Workshop Item |
| id | upm.eprints-45776 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:59:02Z |
| publishDate | 2010 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-457762020-08-07T03:00:21Z http://psasir.upm.edu.my/id/eprint/45776/ Matching fingerface based on area under the highest peaks curve Elmadani, Ahmed Baba Ramli, Abdul Rahman Passwords are no longer valid for accessing personal resources, because it is easy to forge them, in either small or big systems. Today’s challenge is to find other alternatives for passwords. Biometric is one of the ways, by mean of using human characteristics in accessing system resources. Fingerprint and face can be used to secure systems, because fingerprint is a unique, un-repeatable. Using it with face it can be widely acceptable. This paper present a model of fingerprint and face recognition to gain access to sensitive information for only authorized person. The method is based on recognition of the concatenated fingerprint and face images known as fingerface. A small size of fingerface images are used to extract information. Area under the curve resulted from connecting highest peaks are used in matching parameter. Other parameters are used to ensure a perfect matching. Our method takes into account a minimum image size and minimum number of searches. As a result we get fast in matching process. IEEE 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45776/1/Matching%20fingerface%20based%20on%20area%20under%20the%20highest%20peaks%20curve.pdf Elmadani, Ahmed Baba and Ramli, Abdul Rahman (2010) Matching fingerface based on area under the highest peaks curve. In: International Conference on Computer and Communication Engineering (ICCCE 2010), 11-12 May 2010, Kuala Lumpur, Malaysia. . 10.1109/ICCCE.2010.5556810 |
| spellingShingle | Elmadani, Ahmed Baba Ramli, Abdul Rahman Matching fingerface based on area under the highest peaks curve |
| title | Matching fingerface based on area under the highest peaks curve |
| title_full | Matching fingerface based on area under the highest peaks curve |
| title_fullStr | Matching fingerface based on area under the highest peaks curve |
| title_full_unstemmed | Matching fingerface based on area under the highest peaks curve |
| title_short | Matching fingerface based on area under the highest peaks curve |
| title_sort | matching fingerface based on area under the highest peaks curve |
| url | http://psasir.upm.edu.my/id/eprint/45776/1/Matching%20fingerface%20based%20on%20area%20under%20the%20highest%20peaks%20curve.pdf |
| work_keys_str_mv | AT elmadaniahmedbaba matchingfingerfacebasedonareaunderthehighestpeakscurve AT ramliabdulrahman matchingfingerfacebasedonareaunderthehighestpeakscurve |