Improving Human’s Finger Knuckle Identification using High Order Zernike Moments
Identification systems based on biometrics have been conventional more than traditional identification systems in the last two decades. Many biometrics have been provided such as fingerprint, palm, iris, the vein of palm and veins of fingerprint and such. One of the challenges discussed in biometric...
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| Format: | Article |
| Language: | English |
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OICC Press
2024-02-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/4861 |
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| author | Mehran Emadi Mansoor Jafar Pour |
| author_facet | Mehran Emadi Mansoor Jafar Pour |
| author_sort | Mehran Emadi |
| collection | DOAJ |
| description | Identification systems based on biometrics have been conventional more than traditional identification systems in the last two decades. Many biometrics have been provided such as fingerprint, palm, iris, the vein of palm and veins of fingerprint and such. One of the challenges discussed in biometrics is physical damages. The biometric of fingers knuckles is one of the biometrics less exposed to the physical damages. Several methods have been suggested for identification with various weak points such as high mathematical complications and a very low rate of identification. The present study suggests a new method for identification which is based on Zernike Moment. Zernike moment extracts the features of the picture several times. What distinguishes this algorithm from its counterparts is that it has got high accuracy in demarcating similar pictures of different classifications. In addition to its logical calculating complications, this method was able to record a very appropriate rate of identification facing some challenges such as noise, rotation, and transition. |
| format | Article |
| id | doaj-art-8cb13e13f78d4b9aaeddc10dc16e0dfa |
| institution | DOAJ |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-8cb13e13f78d4b9aaeddc10dc16e0dfa2025-08-20T02:43:38ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-01141Improving Human’s Finger Knuckle Identification using High Order Zernike MomentsMehran EmadiMansoor Jafar PourIdentification systems based on biometrics have been conventional more than traditional identification systems in the last two decades. Many biometrics have been provided such as fingerprint, palm, iris, the vein of palm and veins of fingerprint and such. One of the challenges discussed in biometrics is physical damages. The biometric of fingers knuckles is one of the biometrics less exposed to the physical damages. Several methods have been suggested for identification with various weak points such as high mathematical complications and a very low rate of identification. The present study suggests a new method for identification which is based on Zernike Moment. Zernike moment extracts the features of the picture several times. What distinguishes this algorithm from its counterparts is that it has got high accuracy in demarcating similar pictures of different classifications. In addition to its logical calculating complications, this method was able to record a very appropriate rate of identification facing some challenges such as noise, rotation, and transition.https://oiccpress.com/mjee/article/view/4861Human's Finger Knuckle IdentificationIdentification rateMomentZernike |
| spellingShingle | Mehran Emadi Mansoor Jafar Pour Improving Human’s Finger Knuckle Identification using High Order Zernike Moments Majlesi Journal of Electrical Engineering Human's Finger Knuckle Identification Identification rate Moment Zernike |
| title | Improving Human’s Finger Knuckle Identification using High Order Zernike Moments |
| title_full | Improving Human’s Finger Knuckle Identification using High Order Zernike Moments |
| title_fullStr | Improving Human’s Finger Knuckle Identification using High Order Zernike Moments |
| title_full_unstemmed | Improving Human’s Finger Knuckle Identification using High Order Zernike Moments |
| title_short | Improving Human’s Finger Knuckle Identification using High Order Zernike Moments |
| title_sort | improving human 8217 s finger knuckle identification using high order zernike moments |
| topic | Human's Finger Knuckle Identification Identification rate Moment Zernike |
| url | https://oiccpress.com/mjee/article/view/4861 |
| work_keys_str_mv | AT mehranemadi improvinghuman8217sfingerknuckleidentificationusinghighorderzernikemoments AT mansoorjafarpour improvinghuman8217sfingerknuckleidentificationusinghighorderzernikemoments |