Fake currency detection using image processing method
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
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| التنسيق: | أطروحة |
| اللغة: | English |
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BRAC University
2017
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/7622 |
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10361-7622 |
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10361-76222022-01-26T10:08:16Z Fake currency detection using image processing method Alimushwan, Munshi Md. Mohaimin, Akiful Islam, Rifat Chowdhury, Shahriar Ali, Dr. Md. Haider Islam, Md. Saiful Department of Computer Science and Engineering, BRAC University Image Acquisition Gray scale conversion Edge detection Image segmentation Feature extraction Magnification Comparison This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 34-35). Fake notes area problem of almost every country. For country like Bangladesh it is becoming big hurdle. Fake Bangladeshi Currency of 1000 seems to have flooded the system and there is no proper way to deal with them for a common person. Therefore this has led to the increase of corruption in our country hindering country’s growth. Common man became a scapegoat for the fake currency circulation, let us suppose that a common man went to a bank to deposit money in bank but only to see that some of the notes are fake, in this case he has to take the blame. Because of the advances in printing, scanning technologies it is easily possible for a person to print fake notes with use of latest hardware tools. Detecting fake notes manually becomes time consuming and untidy process hence there is need of automation techniques with which currency recognition process can be efficiently done. The issue of efficiently distinguishing counterfeit banknotes from genuine ones via automatic machines has become more and more important. However, The main objective of this project is fake currency detection using MatLab. This process can be automated in a computer using the application software. The basic logic is developed using Image acquisition, gray scale conversion ,edge detection, image segmentation, feature extraction and comparison. The magnified image of the original currency is fed to the Matlab database. The features of the note to be tested are compared with the dataset formed from the original magnified image and finds out whether it is fake or original. The most important challenge is systematically and methodologically repeating the analysis process to reduce human error and time. Munshi Md. Alimushwan Akiful Mohaimin Rifat Islam Shahriar Chowdhury B. Computer Science and Engineering 2017-01-19T05:29:18Z 2017-01-19T05:29:18Z 2016 2016 Thesis ID 13301148 ID 12101139 ID 12101142 ID 11201016 http://hdl.handle.net/10361/7622 en BRAC University thesis 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. 35 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Image Acquisition Gray scale conversion Edge detection Image segmentation Feature extraction Magnification Comparison |
| spellingShingle |
Image Acquisition Gray scale conversion Edge detection Image segmentation Feature extraction Magnification Comparison Alimushwan, Munshi Md. Mohaimin, Akiful Islam, Rifat Chowdhury, Shahriar Fake currency detection using image processing method |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. |
| author2 |
Ali, Dr. Md. Haider |
| author_facet |
Ali, Dr. Md. Haider Alimushwan, Munshi Md. Mohaimin, Akiful Islam, Rifat Chowdhury, Shahriar |
| format |
Thesis |
| author |
Alimushwan, Munshi Md. Mohaimin, Akiful Islam, Rifat Chowdhury, Shahriar |
| author_sort |
Alimushwan, Munshi Md. |
| title |
Fake currency detection using image processing method |
| title_short |
Fake currency detection using image processing method |
| title_full |
Fake currency detection using image processing method |
| title_fullStr |
Fake currency detection using image processing method |
| title_full_unstemmed |
Fake currency detection using image processing method |
| title_sort |
fake currency detection using image processing method |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/7622 |
| work_keys_str_mv |
AT alimushwanmunshimd fakecurrencydetectionusingimageprocessingmethod AT mohaiminakiful fakecurrencydetectionusingimageprocessingmethod AT islamrifat fakecurrencydetectionusingimageprocessingmethod AT chowdhuryshahriar fakecurrencydetectionusingimageprocessingmethod |
| _version_ |
1814307324746006528 |