DETEKSI TEPI CITRA KHAT ARAB MENGGUNAKAN OPERATOR SOBEL DAN CANNY

AMIR FUAD ASY’ARI, NIM. 10650058 (2015) DETEKSI TEPI CITRA KHAT ARAB MENGGUNAKAN OPERATOR SOBEL DAN CANNY. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

Preview	Text (DETEKSI TEPI CITRA KHAT ARAB MENGGUNAKAN OPERATOR SOBEL DAN CANNY) BAB I, V, DAFTAR PUSTAKA.pdf Download (10MB) | Preview
	Text (DETEKSI TEPI CITRA KHAT ARAB MENGGUNAKAN OPERATOR SOBEL DAN CANNY) BAB II, III, IV.pdf Restricted to Registered users only Download (1MB)

Abstract

Khat is one of the branches of Islamic art that comes from the Arabic script. There are various types of handwriting that can be enjoyed by the beauty of its form. However, the lack knowledge of lay people about the khat types and forms of khat are sometimes complicated to make the most people only get to enjoy the beauty of the handwriting of shape without being able to read or know what the sentence contained in the khat. One way that can be used to help the layman to recognize the type of khat is with computer vision. In computer vision there are stages that play an important role in recognizing the different character. These stages is image segmentation with edge detection operation. Therefore, this study examines more about the use of edge detection operators in the process of image segmentation Arabic handwriting. The operator are used is operator sobel and canny. The object of this research is the result of handwritten calligraphy image that has been through the process of digitizing a scanner brands EPSON Stylus TX101 and then stored in jpg format. The image of khat are 40 images consisting of 8 types of handwriting and each type of khat are 5 pieces of the image. The steps are being taken on this study are preprocessing, processing and analysis. And for the testing are done twice with the testing parameters timing tun, SNR, and visual observation. The first test is doing preprocessing, and for the second test is not doing preprocessing. It wasbecause to test the performance of the operator when using preprocessing and without preprocessing. The results shows that the timing testing of non preprocessing run Sobel has the fastest processing time with an average value of 0.4689 seconds / image. Sobel non preprocessing also have better visual testing the value percentage of 65.25%. Meanwhilein the SNR testing, canny preprocessing has a highest average of 8.4901 dB value. It can be concluded that the Sobel operator is better at timing test run and visual testing. And canny preprocessing is better on tests SNR.

Share this knowledge with your friends :

Actions (login required)

View Item