Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/13757| Title: | Tunisian truck license plate recognition using an Android Application based on Machine Learning as a detection tool |
| Author(s): | Boussaada, Achraf |
| Referee(s): | Prof. Dr.-Ing. Klein, Rüdiger Prof.Dr. Schröter, Uwe |
| Granting Institution: | Hochschule Merseburg |
| Issue Date: | 2019-01-22 |
| Type: | Master thesis |
| Language: | English |
| Publisher: | Hochschulbibliothek, Hochschule Merseburg |
| URN: | urn:nbn:de:gbv:542-1981185920-138563 |
| Subjects: | ruck license plate recognition Machine Learning classical image processing methods AI network |
| Abstract: | Artificial intelligence is a technology that‘s hugely controversial. Despite its potential, and for a long time, many people expressed their doubts about this technology and what it holds for us in the future (cited in D‘Onfro 2018 p.1-3; Novet 2018, p.1-3). But for the past few years AI kept growing exponentially and it‘s been implemented in numerous fields (cited in Artificial intelligence index, 2017, p.9-36), proving that it‘s a great asset that can yet open many other doors for a better everyday life (cited in Jahanzaib and Tarique, 2015, p.5). By leveraging the easy accessibility to AI documentation and frameworks this master thesis is continuity to my bachelor thesis with the goal of replacing classical image processing methods by an AI network that brings improvements to the project. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/13856 http://dx.doi.org/10.25673/13757 |
| License: |  (CC BY 4.0) Creative Commons Attribution 4.0 |
| Appears in Collections: | Informatik und Kommunikationssysteme |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| BoussaadaAchraf_Tunisian_truck_license_plate_recognition.pdf | 4.3 MB | Adobe PDF |  View/Open |