49 resources related to Fingerprint Recognition
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2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI)
ICEMI is invited authors to submit original papers in any but not limited as following areas: Science Foundation of Instrument and Measurement Innovative Designing of Instrument and Test System Applications on Instrument and Testing Signal & Image Processing Sensor and Non-electric Measurement Communication and Network Test Systems Control Theory and Application Condition Monitoring, Fault Diagnosis and Prediction Other Relevant Theories and Technologies
2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS)
The conference will cover all aspects of circuits and systems.
2013 IEEE 6th International Conference on Biometrics: Theory, Applications and Systems (BTAS)
The conference is intended to have a broad scope, including advances in fundamental signal processing, image processing, pattern recognition and statistical and mathematical techniques relevant to biometrics, new algorithms and/or technologies for biometrics, analysis of specific applications, and analysis of the social impact of biometrics technology. Areas of coverage include biometrics based on voice, fingerprint, iris, ocular, face, handwriting, gait and other modalities, as well as multi-modal biometr
2013 IEEE International Conference on Mechatronics and Automation (ICMA)
The objective of ICMA 2013 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of mechatronics, robotics, automation and sensors to disseminate their latest research results and exchange views on the future research directions.
2012 International Conference on Management of e-Commerce and e-Government (ICMeCG)
2012 International Conference on Management of e-Commerce and e-Government (ICMeCG 2012) provides a high quality platform for researchers, practitioners, and policy makers from all over the world to present their research results and development activities in e-Commerce and e-Government.It aims to bring together academics and practitioners to explore new frontiers of these areas - with emphasis on cross-disciplinary research, innovative initiatives, solutions and approaches to making the Internet a producti
Conti, V.; Militello, C.; Vitabile, S.; Sorbello, F. Complex, Intelligent and Software Intensive Systems (CISIS), 2010 International Conference on, 2010
Fingerprint classification and matching are two key issues in automatic fingerprint recognition. Generally, fingerprint recognition is based on a set of relevant local characteristics, such as ridge ending and bifurcation (minutiae). Fingerprint classification is based on fingerprint global features, such as core and delta singularity points. Unfortunately, singularity points are not always present in a fingerprint image: the acquisition process ...
Jianjiang Feng; Jain, A.K. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2011
Fingerprint matching systems generally use four types of representation schemes: grayscale image, phase image, skeleton image, and minutiae, among which minutiae-based representation is the most widely adopted one. The compactness of minutiae representation has created an impression that the minutiae template does not contain sufficient information to allow the reconstruction of the original grayscale fingerprint image. This belief has now ...
Leon, J.; Sanchez, G.; Aguilar, G.; Toscano, L.; Perez, H.; Ramirez, J.M. Circuits and Systems, 2009. MWSCAS '09. 52nd IEEE International Midwest Symposium on, 2009
Traditional security systems use passwords or ID cards have been used to moderate access to restricted systems, but these kind of systems have a poor performance because the security can be easily breached. Based in this disadvantage, the biometrics systems have a great popularity, the mains biometrics systems are: face recognition, iris recognition, voice recognition, fingerprint recognition and sinning recognition. ...
Songtao Han; Zhiwen Xu; Chen Sun Mechatronics and Automation, 2009. ICMA 2009. International Conference on, 2009
Today, iris recognition, fingerprint recognition, face recognition, voice recognition and other biometric technology are experiencing rapid development. This paper addresses a new biometric technology-optic fundus blood vessel skeleton recognition based on band tree. The green gray scale ocular fundus image is utilized. The skeleton feature of optic fundus blood vessel is extracted at first. After filtering treatment and extracting feature, ...
Jun Gao; Huo-Ming Dong; Ding-Guo Chen; Long Gan; Wen-Wen Dong Machine Learning and Cybernetics, 2003 International Conference on, 2003
Fingerprint recognition is one of the research hotspots of biometrics techniques. And fingerprint classification and matching are key parts in an automated fingerprint recognition system. The traditional fingerprint recognition systems have such disadvantages as high computation complexity, low speed, low recognition rate to uncompleted or defiled fingerprints, and not robust. In this paper, we propose a novel fingerprint classification and ...
No jobs are currently tagged "Fingerprint Recognition"
Franco, Annalisa Fingerprint: Technologies and Algorithms for Biometrics Applications, 2011
This tutorial presents fingerprint recognition systems and discusses the main steps of the recognition process. After an overview of image acquisition technologies, we will discuss the different stages of feature extraction; the main approaches to fingerprint matching and the relevant state-of-the-art algorithms. The tutorial concludes with a review of the major challenges and issues in this field.
No standards are currently tagged "Fingerprint Recognition"
Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...