A Novel Fingerprint Encryption Based on Image and Feature Mosaic
Mobile smart devices in the digital era are enhancing personal information security by adopting fingerprint encryption technology, but due to the small size of mobile smart devices, the area of fingerprint image that can be detected is reduced, resulting in the lack of extractable fingerprint featur...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2022-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/412456 |
| _version_ | 1797206679425646592 |
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| author | Bing Zheng Zhenyu Qiu Jing Yang |
| author_facet | Bing Zheng Zhenyu Qiu Jing Yang |
| author_sort | Bing Zheng |
| collection | DOAJ |
| description | Mobile smart devices in the digital era are enhancing personal information security by adopting fingerprint encryption technology, but due to the small size of mobile smart devices, the area of fingerprint image that can be detected is reduced, resulting in the lack of extractable fingerprint feature information, and traditional fingerprint encryption technology is difficult to apply to small area fingerprint images. To solve the application difficulties of small area fingerprint image encryption, a novel small area fingerprint encryption algorithm based on feature and image mosaic was proposed, and the encryption efficiency of the algorithm was verified using FVC2002 and XDFinger database. Results show that the small area fingerprint recognition algorithm based on feature and image mosaic is significantly improved in encryption efficiency, failure capture rate decreases from 36% to 7%, true acceptance rate increases from 44% to 68%, and the feasibility and reliability of the method is verified. Conclusions can promote the application of small area fingerprint encryption technology in mobile smart devices. |
| first_indexed | 2024-04-24T09:10:51Z |
| format | Article |
| id | doaj.art-c60de5741d18430297ee10a48869b9c6 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:10:51Z |
| publishDate | 2022-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-c60de5741d18430297ee10a48869b9c62024-04-15T18:00:44ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392022-01-012961914192210.17559/TV-20220302094719A Novel Fingerprint Encryption Based on Image and Feature MosaicBing Zheng0Zhenyu Qiu1Jing Yang2School of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, Hainan, ChinaApplied Mathematics Research Department, Nanchang Institute of Technology, Nanchang, Jiangxi, ChinaSchool of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, Hainan, ChinaMobile smart devices in the digital era are enhancing personal information security by adopting fingerprint encryption technology, but due to the small size of mobile smart devices, the area of fingerprint image that can be detected is reduced, resulting in the lack of extractable fingerprint feature information, and traditional fingerprint encryption technology is difficult to apply to small area fingerprint images. To solve the application difficulties of small area fingerprint image encryption, a novel small area fingerprint encryption algorithm based on feature and image mosaic was proposed, and the encryption efficiency of the algorithm was verified using FVC2002 and XDFinger database. Results show that the small area fingerprint recognition algorithm based on feature and image mosaic is significantly improved in encryption efficiency, failure capture rate decreases from 36% to 7%, true acceptance rate increases from 44% to 68%, and the feasibility and reliability of the method is verified. Conclusions can promote the application of small area fingerprint encryption technology in mobile smart devices.https://hrcak.srce.hr/file/412456feature mosaicfingerprint encryptionimage mosaicsmall area |
| spellingShingle | Bing Zheng Zhenyu Qiu Jing Yang A Novel Fingerprint Encryption Based on Image and Feature Mosaic Tehnički Vjesnik feature mosaic fingerprint encryption image mosaic small area |
| title | A Novel Fingerprint Encryption Based on Image and Feature Mosaic |
| title_full | A Novel Fingerprint Encryption Based on Image and Feature Mosaic |
| title_fullStr | A Novel Fingerprint Encryption Based on Image and Feature Mosaic |
| title_full_unstemmed | A Novel Fingerprint Encryption Based on Image and Feature Mosaic |
| title_short | A Novel Fingerprint Encryption Based on Image and Feature Mosaic |
| title_sort | novel fingerprint encryption based on image and feature mosaic |
| topic | feature mosaic fingerprint encryption image mosaic small area |
| url | https://hrcak.srce.hr/file/412456 |
| work_keys_str_mv | AT bingzheng anovelfingerprintencryptionbasedonimageandfeaturemosaic AT zhenyuqiu anovelfingerprintencryptionbasedonimageandfeaturemosaic AT jingyang anovelfingerprintencryptionbasedonimageandfeaturemosaic AT bingzheng novelfingerprintencryptionbasedonimageandfeaturemosaic AT zhenyuqiu novelfingerprintencryptionbasedonimageandfeaturemosaic AT jingyang novelfingerprintencryptionbasedonimageandfeaturemosaic |