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31 articles for “Similarity Detection”
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Research ArticleOpen accessIn the abstractFals-Ism: A Graph Isomorphism Framework for Multi-Level Detection of Falsified PDF DocumentsJosue Nguinabe, Franklin Tchakounte et al.Fake Portable Document Format (PDF) documents are disseminated in an incredible rhythm across social media. Negative incidences are obvious but effective solutions identifying falsified items in the PDF are still in need. Unlike determining malicious scripts inserted into the file, this research aims at identifying falsified objects from different layers of the document. Specifically, we introduce Fals-Ism, a novel approach … …Journal of Computer Science, Vol. 19, Issue 5 · 11 May 2023 · 5,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining, Isolation and Identification of Siderophore Synthesis Gene from Brevibacillus brevis GZDF3Miaomiao Sheng, Huake Jia, Xiaomai Tao et al.Objective of this paper is to excavate the siderophore synthesis gene from Brevibacillus brevis GZDF3 and verify its type and antibacterial effects. The method is using genome mining technology to analyze the siderophore synthesis genes and the phylogenetic tree of each synthesis gene was constructed separately. Iron free medium was utilized to induce the synthesis of siderophore and CAS liquid … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 3 · 28 Aug 2018 · 10,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Biometrics Types: Literature ReviewMohammad Al Rousan, Benedetto IntrigilaThis study provides a thorough analysis of the various biometric types, including their advantages and disadvantages. It compares the different types and provides details about false acceptance and false rejection rates, along with their equations. Biometric screening systems are used to test and identify persons using their physiological or behavioral characteristics. Using only one recognition device is not suitable for … …Journal of Computer Science, Vol. 16, Issue 12 · 24 Dec 2020 · 9,003 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeatures Reweighting and Similarity Coefficient Based Method for Email Spam FilteringAli Ahmed, Ammar Ahmed E. Elhadi, Ahmed Osman Ali ElsiddigSpam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. Anti spam by determining whether or not an incoming email is spam has become an important problem. One of the main characters or the problem of Spam filtering is its high … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 13 Oct 2017 · 7,804 accessesView PDFCite
Literature ReviewOpen accessIn the abstractEfficient Morphometric Techniques in Alzheimer’s Disease Detection: Survey and ToolsVinutha N., P. Deepa Shenoy, K.R. VenugopalThe development of advance techniques in the multiple fields such as image processing, data mining and machine learning are required for the early detection of Alzheimer’s Disease (AD) and to prevent the progression of the disease to the later stages. The longitudinal and cross sectional images of elderly subjects were obtained from the standard datasets like ADNI, OASIS, MIRIAD and … …Neuroscience International, Vol. 7, Issue 2 · 4 Oct 2017 · 8,450 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Geodesic-Tchebychev Transform: An Image Similarity Measure for Face RecognitionAli Nadhim Razzaq, Zahir M. Hussain, Hind Rustum MohammedThis work presents a new holistic measure for face recognition. Face recognition involves three steps: Face Detection, Feature Extraction and Matching. In the face detection process to identify the face area in face images, Viola-Jones algorithm has been used. Feature extraction is based on performing double-transformation, where discrete Tchebychev transform is performed on the geodesic distance transform of the grayscale … …Journal of Computer Science, Vol. 12, Issue 9 · 29 Nov 2016 · 7,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Approach for Person Identification by Detection and Extraction of Optic Disc from Retina and Concha from EarC. Malathy, A. K. Sadiq, K. AnnapuraniPerson identification based on unimodal biometric system suffers from noise, intra class similarity, non universality, distinctiveness and spoof attacks. To alleviate the problem faced in unimodal biometric system biometric traits are combined in multimodal biometric system. In this study a new approach, to improve the recognition rate, reduces computational complexity and storage space is presented. Distinct method of person identification … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 6,557 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstract3-DIMENSIONAL EAR RECOGNITION BASED ITERATIVE CLOSEST POINT WITH STOCHASTIC CLUSTERING MATCHINGKhamiss Masaoud S. Algabary, Khairuddin Omar, Md Jan NordinEar recognition is a new technology and future trend for personal identification. However, the false detection rate and matching recognition are very challenging due to the ear complex geometry. The Scope of the study is to introduced a combination of Iterative Closest Point (ICP) and Stochastic Clustering Matching (SCM) algorithm for 3D ears matching based on biometrics field with a … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractSHADOW DETECTION USING COLOR AND EDGE INFORMATIONMaryam Golchin, Fatimah Khalid, Lili Nurliana Abdullah, Seyed Hashem DavarpanahShadows appear in many scenes. Human can easily distinguish shadows from objects, but it is one of the challenges for shadow detection intelligent automated systems. Accurate shadow detection can be difficult due to the illumination variations of the background and similarity between appearance of the objects and the background. Color and edge information are two popular features that have been … …Journal of Computer Science, Vol. 9, Issue 11 · 5 Oct 2013 · 7,961 accessesView PDFCite