Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/29113
Title: | On Combinig Deep and Handcrafted Features for Off-line Writer Identification |
Authors: | AIADI, Oussama BENSID, Kawthar HAMEL, Rekia |
Keywords: | Handwriting biometric system identification CoHog |
Issue Date: | 2021 |
Publisher: | UNIVERSITY OF KASDI MERBAH OUARGLA |
Abstract: | The purpose of this project is to identify the handwritten texts of the individual. In fact, the text is recognized as a means of verifying the identity of the person and will enable the realization of a biometric system of quick and effective control of handwriting, in order to reduce the risk of fraud in a significant way. In this project, we realized a desktop application that allows the user to recognize the handwriting of the individual. We used the histogram of oriented gradients (Hog) and the co-occurrence histograms of oriented gradients (CoHog) function to extract the parameters before applying identification techniques, which will be explained later. These techniques will give us a result that reflects the process followed by our application. The latter has been tested and validated on a test basis. |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/29113 |
Appears in Collections: | Département d'informatique et technologie de l'information - Master |
Files in This Item:
File | Description | Size | Format | |
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mimoire final-محول.pdf | informatique industrielle | 1,49 MB | Adobe PDF | View/Open |
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