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49 results for “Fingerprint”
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Research ArticleOpen accessEvery word in the titleMethod of Fingerprint IdentificationSurachai PanichProblem statement: The main task of this study was finding out an effective algorithm in order to match two fingerprints taken from database. The fingerprint identification techniques used in a small database in order to find out an effective algorithm to develop the accuracy in matching process. Higher-level application of this proposed algorithm was determined. Approach: The main objectives in … …Journal of Computer Science, Vol. 6, Issue 10 · 24 Aug 2010 · 6,989 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRe-quantization Codebook Using FingerprintZ. F. Muhsen, M. A. Dababna, A. A. NsourRe-quantization is a key technology for reducing the bit rate of compressed data. The reduction of the bit rate and in certain cases may result in signal quality degradation. Techniques need to be deployed to enhance the signal quality based on optimization techniques. The proposed scheme constructed an optimal re-quantization codebook in an iterative manner for a given original quantization … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,905 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMetabolic Fingerprinting of Three Malaysian Ginger (Zingiber officinale Roscoe) Using Gas Chromatography-Mass SpectromertryH.J. Mahdi, R. Andayani, IshakProblem statement: There is a chemical variation among different ginger cultivars detected by previous studies including the volatile and non-volatile oleo-resins. In this study we try to determine whether these variations are related to a genetic factor rather than environmental or intrinsic factors. Approach: A comprehensive metabolic fingerprinting from the leaves of three micro-propagated ginger cultivars Bukit Tinggi, Tanjung Sepat … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,387 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImpact of Algorithms for the Extraction of Minutiae Points in Fingerprint BiometricsM. Rajaram, Sudha S. PonnarasiProblem statement: As the importance of automatic personal identification applications increases, biometrics particularly fingerprint identification is the most consistent and greatly acknowledged technique. A very important step in automatic fingerprint recognition system is to extract the minutiae points from the input fingerprint images automatically and quickly. Approach: Fingerprints from the database FVC2002 (DB1-a) is used for experimental purpose. The minutiae … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,642 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Venom-Specific Fingerprints of Clinically Relevant Uruguayan Snakes by MALDI-TOFNorma Suarez, Victor MoraisSnakebite envenomation is a particular public health problem in many areas of the world, including extensive areas of Latin America. In particular, in Uruguay, snakebite accidents are caused by two snakes of the genus Bothrops: Bothrops alternatus and Bothrops pubescens. The only effective treatment available is the administration of the specific antivenom. Although there is an ELISA that allows the … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 3 · 26 Jul 2019 · 8,205 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePhylogenetic of ERIC-DNA Fingerprinting and New Sequencing of Aeromonas Species and V. Cholerae DNAHawraa Natiq Kabroot AL-Fatlawy, Hawraa Abdalameer Aldahhan, Ali Hmood AlsaadiThe current study included 44 isolate of A. hydrophila, A. sobria and V. cholerae and other bacteria isolated from stool samples and environmental samples (Kufa river water and hospital environmental samples). ERIC DNA Fingerprinting with ERIC primers pairs generated distinct amplification bands ranging in size from (87 bp to 8000 kb). The 44 isolates produced 93 different patterns by ERIC … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 5 May 2017 · 7,801 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAccess Control, Fire Prevention and Surveillance Security SystemAkande Saheed, Adeoye Adeyinka O.M., Adeola-Bello ZulikhaThis system is designed to detect intruders, gas leakages as well as to serve as a surveillance system. This work focuses on the development of a reliable access control and fire prevention system synergized with surveillance system. In developing the system, Passive Infrared (PIR) sensors, gas sensor, buzzer, Global System Mobile (GSM) module, Liquid Crystal Display (LCD) and RGB Light … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 1 Oct 2019 · 6,694 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultimodal Biometrics using Feature FusionK. Krishneswari, S. ArumugamProblem statement: Biometric is a unique, measurable physiological or behavioral characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometric for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,370 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Enhancement of Bayesian Inference Network for Ligand-Based Virtual Screening using Features SelectionAli Ahmed, Ammar Abdo, Naomie SalimProblem statement: Similarity based Virtual Screening (VS) deals with a large amount of data containing irrelevant and/or redundant fragments or features. Recent use of Bayesian network as an alternative for existing tools for similarity based VS has received noticeable attention of the researchers in the field of chemoinformatics. Approach: To this end, different models of Bayesian network have been developed. … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,721 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Integrated Framework to Predict the Strength of New SMILE Using Graph Attention NetworkSandhi Kranthi Reddy, S. V. G. ReddyMachine Learning (ML) and Deep Learning (DL) have significantly advanced various fields, including healthcare, finance, autonomous systems, and scientific research. In healthcare, these technologies have been widely applied to disease prediction, such as cancer and diabetes. However, the challenge of drug resistance persists, creating a need for more effective drugs. Developing new drugs is a complex, expensive, and time-intensive process, … …Journal of Computer Science, Vol. 21, Issue 10 · 25 Nov 2025 · 2,157 accessesView PDFCite