SANTOSO, HARRY (2016) SIGNATURE IDENTIFICATION WITH EDGE DETECTION AND CORRELATION COEFFICIENT. Other thesis, Unika Soegijapranata Semarang.
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Abstract
This program is created to detect the level of similarity between two signature images. The program uses correlation coefficient to determine the value of the similarity between two image signature. The signature image will be processed through two stages namely preprocessing and identification. Preprocessing consists of grayscale, filtering, sharpening, tresholding and edge detection. This results a black and white images with signature pattern in white. The result will be compared with database images which is created by the same preprocessing. The comparation to recognize signature uses statistical correlation coefficient. The result of signature recognition is 100% for data that is normal image, different sized and given a scratches meanwhile for signature were given rotation is 75% and signature from drawing with canvas is 80%.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | Mrs Christiana Sundari |
| Date Deposited: | 26 Oct 2017 04:36 |
| Last Modified: | 11 Jan 2023 01:18 |
| URI: | http://repository.unika.ac.id/id/eprint/14908 |
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