Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
Brac University
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/19384 |
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10361-19384 |
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10361-193842023-08-13T21:02:05Z Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network Zaman, Sara Milham Hasan, Md. Abir Sadat, Md. Rafid Haque, Md. Abrar Bin Ashraf, Faisal Department of Computer Science and Engineering, Brac University Fingerprint One shot learning Siamese learning Machine learning Transfer learning Triplet loss EfficientNetV2S SOCOFing Dataset Biometric identification. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 45-49). Detailed Fingerprint investigation has been a dominant law enforcement tool which is utilized to distinguish suspects, settle crimes and violations for over 100 years. Moreover, gender classification from fingerprints is a vital step in forensic anthropol ogy in order to identify a criminal’s gender and reduce the list of suspects. A novel approach of machine learning (ML) which is One Shot Learning has been intro duced in this report for identification of persons which will implement the Siamese learning approach for training fingerprint samples by using the triplet loss. One Shot Learning has shown to be efficient because it reliably performs with only one labeled training example and one or a few training sets. Moreover, by using Transfer Learn ing with EfficientNetV2S an accuracy of 99.80%, 99.73%, 97.09%, 99.66%, 98.61% for identification of person, gender, hand, finger and detection of forge fingerprints has been achieved on the Sokoto Coventry Fingerprint Dataset. Sara Milham Zaman Md. Abir Hasan Md. Rafid Sadat Md. Abrar Haque B. Computer Science 2023-08-13T06:43:26Z 2023-08-13T06:43:26Z 2023 2023-01 Thesis ID: 19101141 ID: 18201019 ID: 22341053 ID: 19101648 http://hdl.handle.net/10361/19384 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 49 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Fingerprint One shot learning Siamese learning Machine learning Transfer learning Triplet loss EfficientNetV2S SOCOFing Dataset Biometric identification. |
| spellingShingle |
Fingerprint One shot learning Siamese learning Machine learning Transfer learning Triplet loss EfficientNetV2S SOCOFing Dataset Biometric identification. Zaman, Sara Milham Hasan, Md. Abir Sadat, Md. Rafid Haque, Md. Abrar Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Bin Ashraf, Faisal |
| author_facet |
Bin Ashraf, Faisal Zaman, Sara Milham Hasan, Md. Abir Sadat, Md. Rafid Haque, Md. Abrar |
| format |
Thesis |
| author |
Zaman, Sara Milham Hasan, Md. Abir Sadat, Md. Rafid Haque, Md. Abrar |
| author_sort |
Zaman, Sara Milham |
| title |
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network |
| title_short |
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network |
| title_full |
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network |
| title_fullStr |
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network |
| title_full_unstemmed |
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network |
| title_sort |
comprehensive fingerprint recognition utilizing one shot learning with siamese network |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/19384 |
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| _version_ |
1814307143144177664 |