Detil Buku

Judul File IMPLEMENTASI TEXT RECOGNITION UNTUK MENDETEKSI DIGITAL WRITING DAN HANDWRITING DALAM ALFABET LATIN MENGGUNAKAN OCR (OPTICAL CHARACTER RECOGNITION)
Kategori Skripsi (S-1)
NIM 1147050039
Nama Penulis Derayan Bima Alamsyah
Deskripsi Text Recognition is one of the results of Artificial Intelegence or artificial intelligence that can be inserted into writing or text like humans. The implementation of text recognition uses OCR (Optical Character Recognition) which is a text recognition technique by reading the structure of each character. Recognition is done in real time by using the Mobile Vision API to develop OCR. That is working between the word structure to do an introduction to the Latin alphabet letters made in digitalwring and handwriting. Then a digital data system from the Latin alphabet is carried out. The end of digital writing and handwriting has a different character in the writing process and the results of each writing. Each text character is carried out a classification process that can be identified into a particular character. The method for classification Correlation Template Matching, which is a statistical technique used to search for variables. This algorithm matches each pixel in the procedure of the digital image matrix with the image that becomes the template reference. The results of the Latin alphabet alphabet letter recognition test, for digital writing on the average overall produced 99.81% of 30 credits with 3 testing models, and handwriting testing resulted in an average of 75.90% of 30 tests with 3 testing models.
Tahun 2018
Tanggal Upload 08/01/2019, Pukul : 15:28:14
File
Silahkan login terlebih dahulu agar Anda dapat mendownload filenya
 
Kembali