OPTICAL CHARACTER RECOGNITION MENGGUNAKAN ALGORITMA  TEMPLATE MATCHING CORRELATION

Suryo Hartanto; Aris Sugiharto; Sukmawati Nur Endah

doi:10.14710/jmasif.5.9.8435

DOI: https://doi.org/10.14710/jmasif.5.9.8435

OPTICAL CHARACTER RECOGNITION MENGGUNAKAN ALGORITMA TEMPLATE MATCHING CORRELATION

Suryo Hartanto , Aris Sugiharto, Sukmawati Nur Endah

Received: 17 Apr 2015; Published: 30 Apr 2015.

Editor(s): Retno Kusumaningrum

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Abstract

OCR (Optical Character Recognition) adalah suatu solusi yang efektif untuk proses konversi dokumen cetak ke dokumen digital. Permasalahan yang timbul dalam proses pengenalan dokumen komputer adalah bagaimana teknik pengenalan untuk mengidentifikasi berbagai jenis karakter dengan berbagai ukuran dan bentuk. Metode pengenalan yang digunakan dalam tugas akhir ini adalah metode Template Matching Correlation. Sebelum proses pengenalan, citra masukan dengan format * bmp atau jpg * diolah terlebih dahulu di proses preprocessing, yang meliputi binerisasi, segmentasi, dan normalisasi gambar. Rata-rata tingkat keberhasilan pengenalan yang dihasilkan oleh sistem ini adalah 92,90%. Hasil akhir menunjukkan bahwa penggunaan metode Template Matching Correlation cukup untuk membangun sebuah sistem OCR dengan akurasi yang baik efektif.

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Keywords: OCR, Optical Character Recognition, Template Matching Correlation, preprocessing

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Section: Research Article

Language : EN

In Vol 5, No 9 (2014): JURNAL MASYARAKAT INFORMATIKA

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