Pengenalan Plat Nomor Mobil Metode Convolutional Neural Network (CNN) Menggunakan Bahasa Pemrograman Python

Alif, Hasanuddin Robbani (2022) Pengenalan Plat Nomor Mobil Metode Convolutional Neural Network (CNN) Menggunakan Bahasa Pemrograman Python. Technical Report. Pustakawan, Perpustakaan Institut Teknologi Telkom Purwokerto. (Unpublished)

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Abstract

Deep learning is a new scientific field in the field of machine learning that has recently developed due to the development of GPU acceleration technology. Deep learning has excellent skills in computer vision. One of them is in the case of object recognition in the image. This final project implements one of the namely CNN. The CNN method consist of two stager. The first stage is the classification of license plate locations using HaarCascade. The second stage is the caracter learning stage on license plates using CNN. Before classified. Furthermore, the learning model was carried out using the CNN 3 layer method. The last is the character prediction stage of the learning model that has been done. The results of the test of character predictions obtained a degree of accuracy at a certain epoch value. So i can be concluded that the CNN method used in this final task is able to perform the introduction and reading of characters on license plates well. Keywords : Deep Learning, Clasification, Licence Plate, Convolutional Neural Network.

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