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dc.contributorJianwu, Li
dc.contributor.authorSoler Mas, Pablo
dc.date.accessioned2019-08-26T10:00:08Z
dc.date.available2019-08-26T10:00:08Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/2117/167697
dc.description.abstractThis project is a study about the practical application techniques for the development of an Automatic Passport Identification Number Recognition System. The system proposed in this work is based on an image classifier developed by supervised learning techniques with convolutional neuronal networks. The basic image processing techniques are studied in this project due to its important role in the character recognition problems. In this document, it is proposed a system based on a simple convolutional neural network capable of executing the text recognition and successively the segmentation, analysis and classification of the characters; thus registering the number that appears in the image. For the development of this system it has been used the Matlab software and the Neural Network and Image Processing Toolboxes.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshNeural networks (Computer science)
dc.subject.lcshOptical pattern recognition
dc.titleDevelopment of a passport identification number recognition system
dc.typeMaster thesis
dc.subject.lemacXarxes neuronals (Informàtica)
dc.subject.lemacReconeixement òptic de formes
dc.rights.accessOpen Access
dc.audience.educationlevelMàster
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN ENGINYERIA INDUSTRIAL (Pla 2014)
dc.contributor.covenanteeBeijing gong ye xue yuan
dc.description.mobilityOutgoing


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