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Enhancement of Iris Recognition System Based on Phase Only Correlation Arnia, Fitri; Pramita, Nuriza
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 9, No 2: August 2011
Publisher : Universitas Ahmad Dahlan

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Abstract

Iris recognition system is one of biometric based recognition/identification systems. Numerous techniques have been implemented to achieve a good recognition rate, including the ones based on Phase Only Correlation (POC). Significant and higher correlation peaks suggest that the system recognizes iris images of the same subject (person), while lower and unsignificant peaks correspond to recognition of those of difference subjects. Current POC methods have not investigated minimum iris point that can be used to achieve higher correlation peaks. This paper proposed a method that used only one-fourth of full normalized iris size to achieve higher (or at least the same) recognition rate. Simulation on CASIA version 1.0 iris image database showed that averaged recognition rate of the proposed method achieved 67%, higher than that of using one-half (56%) and full (53%) iris point. Furthermore, all (100%) POC peak values of the proposed method was higher than that of the method with full iris points.
Studi Pencocokan Plat Kendaraan Dengan Metode Phase Only Correlation Putri, Listia Sukma; Roslidar, Roslidar; Arnia, Fitri
Jurnal Rekayasa Elektrika Vol 9, No 4 (2011)
Publisher : Universitas Syiah Kuala

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Abstract

Salah satu cara pengenalan kendaraan adalah dengan identifikasi plat. Umumnya identifikasi yang dilakukan mengacu pada proses segmentasi tiap karakter dari citra plat. Makalah ini mengajukan suatu metode identifikasi plat yang sederhana tanpa melakukan pengenalan melainkan langsung pada proses pencocokan yang berbasis Phase Only Correlation (POC). POC mencocokkan plat dengan mengorelasikan fasa dari dua  citra plat. Fasa diperoleh dengan mengubah citra dari domain spasial menjadi domain frekuensi menggunakan Transformasi Fourier Waktu Diskrit (TFWD). Nilai puncak POC akan tinggi jika citra plat yang dicocokkan adalah citra yang berasal dari plat yang sama. Sebaliknya akan rendah jika yang dicocokkan berasal dari plat yang berbeda. Hasil simulasi menggunakan 20 citra plat menunjukkan bahwa metode POC dapat digunakan dalam pencocokan citra plat.
Metode Band-Limited Phase Only Correlation (BLPOC) untuk Identifikasi Plat Kendaraan Arnia, Fitri; Wahyudi, Syahrul; Aisyah, Siti
Jurnal Rekayasa Elektrika Vol 10, No 1 (2012)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1193.739 KB) | DOI: 10.17529/jre.v10i1.148

Abstract

Digital image processing and computer vision technologies have developed so rapidly and have numerous applications. Automatic lisence plate recognition systems (ALPRS) based on those technologies are not exceptions. In general, the ALPRSs required several steps including image capturing, plate location searching, character segmentation and character recognition. Successful of the whole systems depended heavily on the used segmentation method. A common drawback of many segmentation techniques is that they are very sensitive to illumination variability. The paper proposed a method for license plate recognition based on correlation of phase componenet with limited bandwidth. The method is widely known as band-limited phase only correlation (BLPOC). The method compared input plate’s image with plate’s images in the database. Based on simulation, detection rate can achieve 90% if an appropriate threshold value was selected.
Peningkatan Kualitas Citra Digital Menggunakan Metode Super Resolusi Pada Domain Spasial Abdi, Nailul Mustaqim; Aisyah, Siti; Arnia, Fitri
Jurnal Rekayasa Elektrika Vol 9, No 3 (2011)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (668.299 KB) | DOI: 10.17529/jre.v9i3.163

Abstract

Citra merupakan salah satu komponen dari multimedia yang memegang peranan penting karena mengandung informasi dalam bentuk visual. Tetapi tidak semua citra dapat menampilkan informasi secara jelas dan detail seperti halnya citra resolusi rendah. Citra resolusi rendah memiliki kepadatan piksel yang rendah. Untuk itudiperlukan peningkatan kualitas citra menggunakan metode super resolusi agar dihasilkan citra resolusi tinggi dari citra resolusi rendah. Penelitian ini menggunakan teknik super resolusi yang melalui tiga tahapan umum yaitu registrasi, interpolasi (bilinear dan bikubik), dan rekonstruksi (smoothing dan denoising). Teknik ini diterapkan pada domain spasial menggunakan citra grayscale resolusi rendah. Teknik super resolusi ini diaplikasikan pada citra satu framedan citra multiframe. Hasil Mean Opinion Score (MOS)menunjukkan bahwa citra multiframe yang melalui prosesregistrasi menghasilkan citra resolusi tinggi yang lebih baikdibandingkan dengan citra satu frame tanpa proses registrasi.
Ordinal Measure of Discrete Cosine Transform Blocks for Iris Identification Arnia, Fitri; Irianda, Fery; Aisyah, Siti; Munadi, Khairul
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 2, No 2 (2012): Engineering
Publisher : Syiah Kuala University

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Abstract

Currently, a common method for identifying a person is by means of an identitycard (ID) or combination of an ID and password. The approaches are not very reliable, since the ID can be stolen and password can be forgotten. A more reliable identification system is required. In the last decades, identification systems based on biometrics have been gaining attention, since they are more reliable. Biometrics-based devices identify people based on their physical or psychological characteristics, such as palmprints, fingerprints, gait and iris. Unlike fingerprints or palmprints, irides features distribute randomly, and the features were unique; the features between right and left eyes aredifferent, as well as between twins. Therefore, in addition to reliability, the use of irides can enhance identification accuracy. Purpose of the paper was to improve identification rate of an iris identification method, using ordinal measure of Discrete Cosine Transform (DCT) coefficient. The input iris image was tiled into blocks of 8x8 pixels, then the DCT was applied to each blocks. The AC coefficients of each block were sorted from the smallest to the largest values, in which the sorted values were referred to as ordinal measures.Identification was accomplished by measuring a distance between the ordinal measure of the input images with the ones of the existing images in the database using Minkwoski distance metric. Proposed method increased the averaged identification rate as compared to the previous method by nearly twice from 33% to 61.4%.
Penggunaan Gray Level Co-Occurance Matrix Dari Koefisien Aproksimasi Wavelet untuk Deteksi Cacat Tekstil Islamadina, Raihan; Arnia, Fitri; Munadi, Khairul
Jurnal Buana Informatika Vol 6, No 2 (2015): Jurnal Buana Informatika Volume 6 Nomor 2 April 2015
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Pendeteksian cacat tekstil saat ini masih dilakukan secara manualmengakibatkan seseorang sulit mendeteksi lebih dari 60% dari cacat yang ada.Untuk itu, penelitian ini menerapkan metode deteksi cacat tekstil secara otomatismenggunakan Gray Level Co-Occurance Matrix (GLCM) dari koefisienaproksimasi wavelet yang bertujuan untuk mengevaluasi analisis kinerja metode.Tahapannya, sampel citra tekstil dibagi menjadi delapan bagian untukmendapatkan tekstur cacat yang lebih jelas. Bagian tersebut didekomposisikedalam dua level. GLCM dihitung dari koefisien aproksimasi wavelet level satudan dua untuk dijadikan fitur. Penelitian ini dilakukan empat set simulasi citradengan orientasi latar berbeda. Setiap set terdiri dari satu citra noncacat dan duajenis citra cacat. Setiap bagian citra noncacat dihitung jaraknya dengan semuabagian pada citra cacat pertama dan kedua menggunakan jarak euclidean. Hasilsimulasi menunjukkan bahwa GLCM dari koefisien aproksimasi wavelet levelkedua mampu mendeteksi lebih dari 70% dari cacat yang ada.
Identifikasi Tingkat Kematangan Kelapa Sawit Berbasis Pencitraan Termal Azima, Khusnul; Munadi, Khairul; Arnia, Fitri; Oktiana, Maulisa
Jurnal Rekayasa Elektrika Vol 15, No 1 (2019)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.197 KB) | DOI: 10.17529/jre.v15i1.12963

Abstract

Indonesia is the biggest producer of palm oil (Elaeis guineenis jacq).  The palm tree is a primary commodity that posses a high economic value. Palm oil must be considered in terms of quality to produce optimal and high-quality oil. Previously, the stipulation of the palm tree characterization used manual and visual image utilization method; it may have weaknesses due to the dependency of individual sorting and coruscation factor. Therefore, this research is aimed to improve the performance of the previous method in identifying the ripeness of palm tree based on thermal imaging. The excess of thermal imaging was not related to the coruscation since the level of ripeness was both determined by the temperature and colour. The detection method of this research deployed the colour-based features that are Dominant Colour Descriptor and Color Moment. The DCD  and Color Moment was the input to the K-Nearest Neighbor (KNN) method.  The percentage of identification rate was 89%, and the identification of oil palm maturity level using thermal imaging is more efficient because it is done without human intervention and does not depend on lighting assistance compared to manual method and method of using RGB visual images.
Karakterisasi Kematangan Buah Kopi Berdasarkan Warna Kulit Kopi Menggunakan Histogram dan Momen Warna Syahputra, Hendri; Arnia, Fitri; Munadi, Khairul
JURNAL NASIONAL TEKNIK ELEKTRO Vol 8, No 1: March 2019
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v8n1.615.2019

Abstract

Conventionally, the coffee maturity level is determined by observing the fruit colour, and it is done manually. This approach may result in inconsistency in colour classification. Thus, an automatic colour classification method based on colour of coffee maturity level is required. This paper presents the characterization of coffee maturity level based on two colour features: colour histogram and colour moment. Characterization of coffee maturity level was grouped into four class: green for unripe coffee, greenish-yellow for half ripe coffee, red for ripe coffee, and dark red for too ripe coffee. The purpose of the research is to determine the colour features that can characterize the coffee maturity level based on computer simulation in extracting and calculating the statistical values of the colour histogram and colour moments. It turned out from 200 coffee images that the statistical values of colour histogram are more suitable for characterising the coffee maturity. The kurtosis values of hue histogram for each maturity level of coffee were different: kurtosis value of unripe coffee was 17.2-28.3, those of half ripe coffee, ripe coffee and too ripe coffee were 29.2-31.4, 32.7-83.5, and more than 84.2 respectively..Keywords : colour histogram kurtosis, colour moment, image processing.AbstrakSecara tradisional, tingkat kematangan buah kopi ditentukan dari warna kulitnya yang dikelompokan secara manual. Cara ini menghasilkan pengelompokan warna yang kurang konsisten, sehingga diperlukan sebuah metode otomatis pengelompokan buah kopi berdasarkan warna dari tingkat kematangannya. Penelitian ini memaparkan hasil karakterisasi kematangan buah kopi arabika menggunakan dua fitur warna citra, yaitu histogram dan momen warna. Karakterisasi kematangan dibagi menjadi empat kelompok: hijau untuk kopi muda, hijau kekuningan untuk kopi setengah masak, merah untuk kopi masak, dan merah tua untuk kopi tua. Tujuan penelitian ini adalah menentukan fitur warna yang dapat mewakili karakter kematangan buah kopi dengan melakukan simulasi komputer untuk mengekstrak dan menghitung nilai statistik dari histogram warna dan nilai momen warna dari empat kelompok buah kopi.  Hasil penelitian menggunakan 200 citra kopi menunjukkan bahwa nilai statistik dari histogram warna lebih menggambarkan karakter kematangan buah kopi, dibandingkan dengan momen warna. Nilai kurtosis dari histogram hue memiliki nilai berbeda untuk setiap kategori kematangan buah kopi: kopi muda memiliki nilai kurtosis 17.2-28.3, kopi setengah masak 29.2-31.4, kopi masak 32.7-83.5dan kopi tua lebih dari 84.2.  Kata Kunci : kurtosis histogram warna, momen warna, pengolahan citra.
Binarization of Ancient Document Images based on Multipeak Histogram Assumption Arnia, Fitri; Munadi, Khairul
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1006.326 KB) | DOI: 10.12928/telkomnika.v15i3.5105

Abstract

In document binarization, text is segmented from the background. This is an important step, since the binarization outcome determines the success rate of the optical character recognition (OCR). In ancient documents, that are commonly noisy, binarization becomes more difficult. The noise can reduce binarization performance, and thus the OCR rate. This paper proposes a new binarization approach based on an assumption that the histograms of noisy documents consist of multipeaks. The proposed method comprises three steps: histogram calculation, histogram smoothing, and the use of the histogram to track the first valley and determine the binarization threshold. In our simulations we used a set of Jawi ancient document images with natural noises. This set is composed of 24 document tiles containing two noise types: show-through and uneven background. To measure performance, we designed and implemented a point compilation scheme. On average, the proposed method performed better than the Otsu method, with the total point score obtained by the former being 7.5 and that of the latter 4.5. Our results show that as long as the histogram fulfills the multipeak assumption, the proposed method can perform satisfactorily. 
HISTOGRAM E QUALIZATION SMOOTHING FOR DETERMINING THRESHOLD ACCURACY ON ANCIENT DOCUMENT IMAGE BINARIZATION Dwipayana, Mahendar; Arnia, Fitri; Musliyana, Zuhar
JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Vol 2, No 2 (2016): Oktober 2016
Publisher : Universitas Ubudiyah Indonesia

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Abstract

Ancient documents are inheritance that must be preserved. The documents contain historical, scientific, social, religious information, etc. Converting ancient documents into digital image formats is one of ways to preserve the inheritance and can be stored into a computer. However, images of ancientdocuments have many blemishes caused by age, moisture, flood, etc. Therefore, special techniques are needed for those images to be restored and can improve the legibility of the ancient documents’ images. In this study, the image restoration process uses separation of background and foreground/text on histogram equalization such as research conducted by Fitri Arnia in 2008. Through histogram equalizationimages can be seen the distribution of pixels from the intensity of black color "0" to white "1". The distribution of pixels on histogram equalization describes the curves of foreground/text and curves of background. Among the histogram curves, the determination of thresholdvalues can be done so as to clarify the foreground/text and background areas on images of ancient documents. The lowest point between the two curves is the lowest pixel (local minima) which is used as the threshold value. However, the selection of such threshold values in some cases is very difficult to determine because there are still many fluctuations in the curve at the lowest curve. Therefore, this study proposesa histogram smoothing method in the ancient documents’ images to minimize curvature fluctuations and to determine more accurate threshold values. In this research, average filtering method is used for smoothing the histogram image. This filter successfully refines the histogram and makes the image of the restoration or binary image display the value of the ancient document image readability increases.Keywords: HistogramEqualization, Smoothing Histogram, Average Filtering, Thresholding