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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Teknik Informatika (JUTIF) Rabbani: Jurnal Pendidikan Agama Islam Sriwijaya Bioscientia Jurnal Kolaboratif Sains Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Jurnal Studi Bahasa dan Sastra Arab Al-Maktabah: Jurnal Studi Islam Interdisiplin Al-Maktabah: Jurnal Studi Islam Interdisiplin
Saparudin
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
An Analysis of Adaptive Approach for Document Binarization Malik, Reza Firsandaya; Saparudin; Septyliana, Intan
Computer Engineering and Applications Journal (ComEngApp) Vol. 2 No. 2 (2013)
Publisher : Universitas Sriwijaya

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Abstract Binarization is an initial step in document image analysis for differentiate text area from background. Determination of binarization technique is really important to retrieve all the text information especially from degraded document image. This paper explains about adaptive binarization using Gatos’s method. Gatos’s method is doing preprocessing, foreground estimation using Sauvola’s method, background estimation, upsampling, final thresholding and postprocessing. In this paper, Sauvola’s method is final thresholding from Wiener filter image result and source image, and count F-Measure from both of these binary image results. By using optimum constant value on k value, n local window, Ksw and Ksw1, Gatos’s method can produced binary image better than Sauvola’s method based on F-Measure value. Sauvola’s method produces average value F=84,62%, Sauvola’s method with Wiener filter produces average value F=99.06% and Gatos’s method produces average value F=99,43%. Keyword : Degraded Document Image, Adaptive Approcah for Binarization, Gatos’s  Method, Sauvola’s MethodDOI: 10.18495/comengapp.22.185194
Weighting Facial Features Extraction using Geometric Average Saparudin
Computer Engineering and Applications Journal (ComEngApp) Vol. 6 No. 1 (2017)
Publisher : Universitas Sriwijaya

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Human facial feature extraction is an important process in the face recognition system. The quality of the results from the extraction of human facial features is determined by the degree of accuracy. The weighting of human facial features is used to test the accuracy of the methods used. This research produces the process of weighting the facial features automatically. The results obtained are the same as those seen by the human eyes.  
Co-Authors Bagus Muhammad Saputra Dona, Risma Fathih Asshiddiqi, Muhammad Harmida Intan Septyliana Jukhairin, Muhammad Muhammad Firdaus Fitrananda Muhammad Syaifudin Nandang Syarif Hidayat Novaliastuti Masiaga Nurhadi Nurhadi Reza Firsandaya Malik Risnawati Naue Rizal Sidik Wan Luthfiyah