Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Sufiatul Maryana, Iyan Mulyana, Ema Kurnia

Judul : Optimization of Pattern Recognition of Hijaiyah Letters using Normalized Cross Correlation Techniques

Abstrak :
The development of analysis in digital image increasingly developed with various methods, one of which is in the recognition of letter patterns. Each letter written using handwriting must have different writing patterns, such as thickness and shape of the letter pattern. In this research will be done the pattern recognition of hijaiyah letters of handwriting by applying the Normalized Cross Correlation (NCC) technique. NCC is a technique used to match of two images. Before the NCC process, it should be done the preprocessing using convolution and without convolution using binary image. The convolution technique used was the Sobel and prewitt edge detection with the aimed to get the edge of an object and compared the number of matching letters between using edge detection and without edge detection. The test was done by using different sized image of 32x32 pixel, 64x64 pixel and then match it against a similar sample data, a different sample data, a different objects font sample data and a different sample data of original image size. The results show that the matching of the letter pattern depends on the size of the image that is more matching to the image of 32x32 pixel. Binary image had better matching numbers than the convolution techniques. While in convolution techniques, prewitt edge detection had the higher accuracy and matching results compared to the image using sobel edge detection.

Tahun : 2019 Media Publikasi : Jurnal Internasional

Kategori : Jurnal No/Vol/Tahun : 2S7 / 8 / 2019

ISSN/ISBN : 2277-3878

PTN/S : Universitas Pakuan Program Studi : MANAJEMEN INFORMATIKA (D3)

Bibliography :

Gazali, Wikaria, Haryono Soeparno, Jenny ohliati. 2012. Penerapan Metode Konvolusi dalam Pengolahan Citra Digital. Voleme 12, No.12

Kanata, Bulkis. 2015. Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi. Jurusan Elektro Universitas Mataram. Volume 11, No.4.

Bowo, Subchan Ajie Ari, Achmad Hidayatno, R. Rizal Isnanto. 2013. Analisis Deteksi Tepi untuk Mengidentifikasi Pola Daun. Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro.

Kosasi, Sandy. 2015. Rekonstruksi Degradasi dalam Pengolahan Citr Menggunakan Metode Konvolusi. STMIK Pontianak.

Lusiana, Veronica. 2013. Deteksi Tepi pada Citra Digital Menggunakan Metode Krish dan Robinson. Universitas Stikubank. Jurnal Teknologi Informasi Vol 18, No.2.

Pramana, Pandri. 2014. Pengenalan Pola Huruf Hijaiyah Tulisan Tangan Menggunakan Metode Backpropagation. STIMIK Budi Darma Medan. Volume 4, No.3,

Surender. M, C. Saravanan. 2013. Algorithm for Face Matching Using Normalized Cross-Correlation. International Journal of Engineering and Advanced Technology ISSN: 2249-8958, Vol. 2, Issue 4.

URL : https://www.ijrte.org/download/volume-8-issue-2s7/

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Detail Karya Ilmiah Dosen

Sufiatul Maryana, Iyan Mulyana, Ema Kurnia

Judul	:	Optimization of Pattern Recognition of Hijaiyah Letters using Normalized Cross Correlation Techniques
Abstrak	:	The development of analysis in digital image increasingly developed with various methods, one of which is in the recognition of letter patterns. Each letter written using handwriting must have different writing patterns, such as thickness and shape of the letter pattern. In this research will be done the pattern recognition of hijaiyah letters of handwriting by applying the Normalized Cross Correlation (NCC) technique. NCC is a technique used to match of two images. Before the NCC process, it should be done the preprocessing using convolution and without convolution using binary image. The convolution technique used was the Sobel and prewitt edge detection with the aimed to get the edge of an object and compared the number of matching letters between using edge detection and without edge detection. The test was done by using different sized image of 32x32 pixel, 64x64 pixel and then match it against a similar sample data, a different sample data, a different objects font sample data and a different sample data of original image size. The results show that the matching of the letter pattern depends on the size of the image that is more matching to the image of 32x32 pixel. Binary image had better matching numbers than the convolution techniques. While in convolution techniques, prewitt edge detection had the higher accuracy and matching results compared to the image using sobel edge detection.
Tahun	:	2019	Media Publikasi	:	Jurnal Internasional
Kategori	:	Jurnal	No/Vol/Tahun	:	2S7 / 8 / 2019
ISSN/ISBN	:	2277-3878
PTN/S	:	Universitas Pakuan	Program Studi	:	MANAJEMEN INFORMATIKA (D3)
Bibliography	:	Gazali, Wikaria, Haryono Soeparno, Jenny ohliati. 2012. Penerapan Metode Konvolusi dalam Pengolahan Citra Digital. Voleme 12, No.12 Kanata, Bulkis. 2015. Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi. Jurusan Elektro Universitas Mataram. Volume 11, No.4. Bowo, Subchan Ajie Ari, Achmad Hidayatno, R. Rizal Isnanto. 2013. Analisis Deteksi Tepi untuk Mengidentifikasi Pola Daun. Jurusan Teknik Elektro Fakultas Teknik Universitas Diponegoro. Kosasi, Sandy. 2015. Rekonstruksi Degradasi dalam Pengolahan Citr Menggunakan Metode Konvolusi. STMIK Pontianak. Lusiana, Veronica. 2013. Deteksi Tepi pada Citra Digital Menggunakan Metode Krish dan Robinson. Universitas Stikubank. Jurnal Teknologi Informasi Vol 18, No.2. Pramana, Pandri. 2014. Pengenalan Pola Huruf Hijaiyah Tulisan Tangan Menggunakan Metode Backpropagation. STIMIK Budi Darma Medan. Volume 4, No.3, Surender. M, C. Saravanan. 2013. Algorithm for Face Matching Using Normalized Cross-Correlation. International Journal of Engineering and Advanced Technology ISSN: 2249-8958, Vol. 2, Issue 4.
URL	:	https://www.ijrte.org/download/volume-8-issue-2s7/