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PENGEMBANGAN SISTEM PENGENALAN HURUF ARAB

PENGEMBANGAN SISTEM PENGENALAN HURUF ARAB. M. ALBADR LUTAN NASUTION 13508011. Latar Belakang. Rumusan Masalah. Tujuan. citra. alih aksara, terjemah, pencarian, suara , . teks. p iksel sulit diolah. huruf dapat disunting dapat dicari. OCR. Studi Literatur.

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PENGEMBANGAN SISTEM PENGENALAN HURUF ARAB

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  1. PENGEMBANGAN SISTEM PENGENALAN HURUF ARAB M. ALBADR LUTAN NASUTION 13508011

  2. Latar Belakang

  3. Rumusan Masalah

  4. Tujuan citra alih aksara, terjemah, pencarian, suara, ... teks • piksel • sulit diolah • huruf • dapat disunting • dapat dicari OCR

  5. StudiLiteratur • Tulisan Arab: 31 huruf, kursif, 4 bentuk,titik • Akuisisi Data: Online vsOffline • TahapanUmum OCR:

  6. PenelitianTerkait • Sarfraz, dkk (2003): Pengenalannomor plat kendaraan dg. pencocokantemplat • Al-Taani dan Al-Haj (2010): Pengenalanhurufonline dg. pohonkeputusan • Sarhan dan Al-Helalat (2007): Pengenalanhuruf dg. JST danfiturstandardevisasidanpiksel • Zidouri (2010): Metodesegmentasibarudan pengenalanduatingkat: templat dan JST • Abandah,dkk (2009): Ragamfiturhurufdankombinasipengenaanstatistik

  7. Alur Proses

  8. Praolah P1’ = median (P1..P9) BLACK if RG||GB||RB 64 piksel lini basis

  9. Penipisan 2 < = B(p1) < = 6 A(p1)=1 p2.p4.p8=0 or A(p2)!= 1 p2.p4.p6=0 or A(p4)!= 1

  10. Segmentasi

  11. Segmentasi Baris

  12. Segmentasi Upakata Amin (2000) Tiap sangkar digolongkan ke: “badan utama”, “objek sekunder”, dan “derau”

  13. Segmentasi Huruf Zidouri (2010)

  14. EkstraksiFitur

  15. Klasifikasi

  16. Data Uji

  17. Prosedur Pengujian

  18. Skrinsyut Citra asli Setelahpraolah Penipisan Pengotakan Seg. huruf

  19. Antarmuka

  20. Hasil Uji: Seg. Baris Benar 98%. Under 0%. Over 2%.

  21. Hasil Uji: Seg. Huruf Benar 74%. Under 21%. Over 5%. Benar 86%. Under 8%. Over 6%.

  22. demo?

  23. Terima kasih.

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