Segmentasi Kata Tulisan Tangan Menggunakan Tapis Gaussian 1D

Segmentasi Kata Tulisan Tangan Menggunakan Tapis Gaussian 1D Linggo sumarno Primary Author mixed material bibliography Bag. Serial SIGMA jurnal sainds dan teknologi ind Indonesia Sumber artikel:Jurnal. Halaman: 179-189 Handwritten word segmentation problem is one of many problems in the handwritten word recognition fiel. This segmentation problem will be more complicated if dealing with cursive handwritten word. this paper will discuss a simple approach in sigmentation called oversegmentation using 1D Gaussian filters. Based on the subjective test result 1D Gaussian filter having 8 point in length and 4 - 12 in standartd deviation as well as those having 12 - 24 points in length and 4 - 16 in standard deviation can be used effectively for this kind of segmentation . 1. SEGMENTATION 2. HANDWRITTEN WORD 3. 1D GAUSSIAN FILTERS 378.0405 SIG 2 UPT Perpustakaan UM Koleksi Bahan Pustaka Perpustakaan UM 2 -44598 2012-10-31 00:00:00 2012-10-31 00:00:00 machine generated