Library Automation and Digital Archive
LONTAR
Fakultas Ilmu Komputer
Universitas Indonesia

Pencarian Sederhana

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Call Number JURNAL ILMU KOMPUTER DAN INFORMASI, Vol. 5 No. 1 February 2012
Collection Type UI-ana Indek Artikel
Title Local binarization for document images captured by cameras with decision tree
Author Naser Jawas, Randy Cahya Wihandika and Agus Zainal Arifin
Publisher Fakultas Ilmu Komputer Universitas Indonesia
Subject
Location FASILKOM-UI;
Lokasi : Perpustakaan Fakultas Ilmu Komputer
Nomor Panggil ID Koleksi Status
JURNAL ILMU KOMPUTER DAN INFORMASI, Vol. 5 No. 1 February 2012 TERSEDIA
Tidak ada review pada koleksi ini: 39211
character recognition in a document image captured by a digital camera requires a good binary image as the input for the separation the text from the background.Global binarization method does not provide good separation because of the problem of uneven levels of lighting in images captured by cameras. Local binarization method overcomes the problem but requires a method to partition the large image into windows properly. In this paper, we propose a local binariation method with dynamic image partitioning using integral image and decision tree for the binarization decision. The integral image is used to estimate the number of line in the document image. The number of line in the document image is used to devide the document into local windows. The decision tree makes a decision for threshold in every local window. The result shows that the proposed method can separate the text from the background better than using global thresholding with the best OCR result of the binarized image is 99.4%.