Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/17690
Title: | Biometric modality characteristics extraction using Sugeno fuzzy model |
Authors: | BELALEM, Soumia HELIOUA, Aicha TIDJANI, Z BENSAID, K |
Issue Date: | 10-Jun-2018 |
Abstract: | Biometrics based personal identification is regarded as an effective method for automatically recognizing, also his playing an important role in this field. This memorandum presents one of the newer biometric approach to presences identification using palm print technology from a polyU data base, the parameters of the processed image wich belong to the palm print is treated by the fuzzy logic system at the feature extraction level and optimize the obtained result by the gradient method. The experiment is carried out by using MATLAB software. |
Description: | PEOPLE'S DEMOCRATIC REPUBLIC OF ALGERIA MINISTRY HIGHER EDUCATION AND SCIENTIFIC RESEARCH KASDI MERBAH UNIVERSITY OUARGLA Faculty of new technologies of information and communication DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/17690 |
Appears in Collections: | Département d'Electronique et des Télécommunications - Master |
Files in This Item:
File | Description | Size | Format | |
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BELALEM-HELIOUA.pdf | 1,07 MB | Adobe PDF | View/Open |
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