Research ArticleOpen accessIn the abstractUsing IRS Products to Recover 7ETM+ Defective ImagesMobasheri Mohammad Reza, Sadeghi Naeini AliOn May 31st, 2003, Landsat 7 faced an anomaly in the Scan Line Corrector (SLC) normal operation. This malfunctioning of SLC caused the individual scan lines alternately overlap each other and consequently produce large gaps at the edges of the image. Regarding the unique specification of ETM+ sensor on board of Landsat-7 satellite such as its spectral bands in the … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 6,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractPHASEY: A Contrastive Learning Approach for Enhanced Human Gait Phases RecognitionUrvashi, Deepak Kumar, Vinay Kukreja, Ayush DograHuman gait has gained much attention in behavioral biometrics as it possesses unique and distinctive characteristics. Gait phases, which describe the different patterns of human walking, are significant for the analysis and understanding of movement in an individual. Hence, the identification of gait phases is important for the accurate determination and interpretation of walking patterns, ranging from healthcare and security … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 4,638 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Based Accurate Biometric Recognition and Identification of Human Iris PatternsM. Gopikrishnan, T. SanthanamProblem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. However, published … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting the Severity of Breast Masses with Ensemble of Bayesian ClassifiersAlaa M. ElsayadProblem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the severity of breast masses. The objective of the proposed algorithm was to help physicians in their decisions to perform a breast biopsy on a suspicious lesion seen in a mammogram image or … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractHyperspectral Remote Sensing for Tropical Rain ForestKamaruzaman Jusoff, Kasawani IbrahimProblem statement: Sensing, mapping and monitoring the rain forest in forested regions of the world, particularly the tropics, has attracted a great deal of attention in recent years as deforestation and forest degradation account for up to 30% of anthropogenic carbon emissions and are now included in climate change negotiations. Approach: We reviewed the potential for air and spaceborne hyperspectral … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 8,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Arabic Hand Written Text Recognition SystemIsmael Ahmad JannoudDespite of the decent development of the pattern recognition science applications in the last decade of the twentieth century and this century, text recognition remains one of the most important problems in pattern recognition. To the best of our knowledge, little work has been done in the area of Arabic text recognition compared with those for Latin, Chins and Japanese … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptical Character Recognition System for Arabic Text Using Cursive Multi-Directional ApproachMansoor Al-A'ali, Jamil AhmadThis paper presents a novel new technique based on feature extraction and on dynamic cursor sizing for the recognition of Arabic Text. The most challenging area in Arabic OCR (AOCR) research is the segmentation of words into their sub-words and their individual characters. Several rules are defined that govern the size and movement of the cursor through each segment. The … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,970 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Proposed Optical Music Mark Recognition SystemIsmael JannoudThe optical music symbol recognition system still has many challenges. Most of issues focused on the recognition of the individual marks in the input concert documents. In this study a new and efficient model for optical music recognition (OMR) was proposed. The music marks was recognized and played by the computer OMR system automatically. A stored file of music documents … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,890 accessesView PDFCite