IDENTIFIKASI BARCODE SATU DIMENSI MENGGUNAKAN METODE LEARNING VECTOR QUANTIZATION

• Main Authors: , SALMAN ALIAJI, , Drs. Agus Harjoko, M.sc., Ph.D
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2012
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/100111/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=56915
• Institution: Universitas Gadjah Mada

In today�s modern society, almost every consumer product has a barcode label. Laser-based barcode scanners have become very sophisticated, but the camerabased scanners still has some problems. The scanner has a limited performance when dealing with images taken in difficult light conditions. Often the identification barcode with a camera-based scanners to be difficult because the process of shooting that is not true. It causes the resulting image has low quality, like a blurry picture, not focus or noise. ANN with high ability can be used to identify the barcode, but has many uses complex algorithms such as backpropagation. Barcode identification in this research consists of two main processes, namely the training process and the identification process. Training process is used to conduct training barcode character patterns. While the identification process consists of several stages starting from the process of image acquisition, conversion, locating barcode, scanline, normalization, testing and validation. The training process and testing process using neural networks with Learning Vector Quantization algorithm (LVQ). Based on the results of the comparison and testing that has been done, LVQ method can be used for identifying the barcode label image. Although it has not been able to surpass commercial barcode reader, but the proposed method has a fairly good degree of accuracy. From 72 images that have been tested, there are 53 images were identified correctly, so get the level of accuracy is 73.6%.