A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem
The fingerprint is a commonly used biometric modality that is widely employed for authentication by law enforcement agencies and commercial applications. The designs of existing fingerprint matching methods are based on the hypothesis that the same sensor is used to capture fingerprints during enrol...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/4/1008 |
| _version_ | 1811187767121543168 |
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| author | Helala AlShehri Muhammad Hussain Hatim AboAlSamh Mansour AlZuair |
| author_facet | Helala AlShehri Muhammad Hussain Hatim AboAlSamh Mansour AlZuair |
| author_sort | Helala AlShehri |
| collection | DOAJ |
| description | The fingerprint is a commonly used biometric modality that is widely employed for authentication by law enforcement agencies and commercial applications. The designs of existing fingerprint matching methods are based on the hypothesis that the same sensor is used to capture fingerprints during enrollment and verification. Advances in fingerprint sensor technology have raised the question about the usability of current methods when different sensors are employed for enrollment and verification; this is a fingerprint sensor interoperability problem. To provide insight into this problem and assess the status of state-of-the-art matching methods to tackle this problem, we first analyze the characteristics of fingerprints captured with different sensors, which makes cross-sensor matching a challenging problem. We demonstrate the importance of fingerprint enhancement methods for cross-sensor matching. Finally, we conduct a comparative study of state-of-the-art fingerprint recognition methods and provide insight into their abilities to address this problem. We performed experiments using a public database (FingerPass) that contains nine datasets captured with different sensors. We analyzed the effects of different sensors and found that cross-sensor matching performance deteriorates when different sensors are used for enrollment and verification. In view of our analysis, we propose future research directions for this problem. |
| first_indexed | 2024-04-11T14:09:08Z |
| format | Article |
| id | doaj.art-480539c4a5fe44aabe2870d04617bf75 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:09:08Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-480539c4a5fe44aabe2870d04617bf752022-12-22T04:19:47ZengMDPI AGSensors1424-82202018-03-01184100810.3390/s18041008s18041008A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability ProblemHelala AlShehri0Muhammad Hussain1Hatim AboAlSamh2Mansour AlZuair3College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaCollege of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaCollege of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaCollege of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi ArabiaThe fingerprint is a commonly used biometric modality that is widely employed for authentication by law enforcement agencies and commercial applications. The designs of existing fingerprint matching methods are based on the hypothesis that the same sensor is used to capture fingerprints during enrollment and verification. Advances in fingerprint sensor technology have raised the question about the usability of current methods when different sensors are employed for enrollment and verification; this is a fingerprint sensor interoperability problem. To provide insight into this problem and assess the status of state-of-the-art matching methods to tackle this problem, we first analyze the characteristics of fingerprints captured with different sensors, which makes cross-sensor matching a challenging problem. We demonstrate the importance of fingerprint enhancement methods for cross-sensor matching. Finally, we conduct a comparative study of state-of-the-art fingerprint recognition methods and provide insight into their abilities to address this problem. We performed experiments using a public database (FingerPass) that contains nine datasets captured with different sensors. We analyzed the effects of different sensors and found that cross-sensor matching performance deteriorates when different sensors are used for enrollment and verification. In view of our analysis, we propose future research directions for this problem.http://www.mdpi.com/1424-8220/18/4/1008biometricsfingerprint sensor interoperabilitycross-sensor fingerprint matchingfingerprint enhancement |
| spellingShingle | Helala AlShehri Muhammad Hussain Hatim AboAlSamh Mansour AlZuair A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem Sensors biometrics fingerprint sensor interoperability cross-sensor fingerprint matching fingerprint enhancement |
| title | A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem |
| title_full | A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem |
| title_fullStr | A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem |
| title_full_unstemmed | A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem |
| title_short | A Large-Scale Study of Fingerprint Matching Systems for Sensor Interoperability Problem |
| title_sort | large scale study of fingerprint matching systems for sensor interoperability problem |
| topic | biometrics fingerprint sensor interoperability cross-sensor fingerprint matching fingerprint enhancement |
| url | http://www.mdpi.com/1424-8220/18/4/1008 |
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