The k-NN classifier and self-adaptive Hotelling data reduction technique in handwritten signatures recognition

[1]  Przemyslaw Kudlacik,et al.  A new approach to signature recognition using the fuzzy method , 2014, Pattern Analysis and Applications.

[2]  Rafal Doroz,et al.  Signature Recognition Based on Voting Schemes , 2013, 2013 International Conference on Biometrics and Kansei Engineering.

[3]  Rafal Doroz,et al.  On-Line Signature Recognition Based on an Analysis of Dynamic Feature , 2013, 2013 International Conference on Biometrics and Kansei Engineering.

[4]  Bartosz Krawczyk,et al.  Combined classifier based on feature space partitioning , 2012, Int. J. Appl. Math. Comput. Sci..

[5]  Marcin Bernas,et al.  Objects Detection and Tracking in Highly Congested Traffic Using Compressed Video Sequences , 2012, ICCVG.

[6]  Michal Wozniak,et al.  Combining classifiers under probabilistic models: experimental comparative analysis of methods , 2012, Expert Syst. J. Knowl. Eng..

[7]  Zygmunt Wróbel,et al.  Fully automatic algorithm for the analysis of vessels in the angiographic image of the eye fundus , 2012, Biomedical engineering online.

[8]  Thomas P. Ryan,et al.  Statistical Methods for Quality Improvement: Ryan/Quality Improvement 3E , 2011 .

[9]  Zygmunt Wróbel,et al.  Automatic Ultrasound Image Analysis in Hashimoto's Disease , 2010, MCPR.

[10]  Vinayak Ashok Bharadi,et al.  Off-Line Signature Recognition Systems , 2010 .

[11]  Rafal Doroz,et al.  A new signature similarity measure , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[12]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[13]  Rafal Doroz,et al.  Method of signature recognition with the use of the mean differences , 2009, Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces.

[14]  Muhammad Talal Ibrahim,et al.  On-line Signature Verification Using Most Discriminating Features and Fisher Linear Discriminant Analysis (FLD) , 2008, 2008 Tenth IEEE International Symposium on Multimedia.

[15]  Giuseppe Pirlo,et al.  Automatic Signature Verification: The State of the Art , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Ismail A. Ismail,et al.  Automatic Signature Recognition and Verification Using Principal Components Analysis , 2008, 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation.

[17]  Philip Chan,et al.  Toward accurate dynamic time warping in linear time and space , 2007, Intell. Data Anal..

[18]  Piotr Porwik,et al.  The Compact Three Stages Method of the Signature Recognition , 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

[19]  Marcos Faúndez-Zanuy,et al.  On-line signature recognition based on VQ-DTW , 2007, Pattern Recognit..

[20]  J. Demšar.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[21]  Trevor Darrell,et al.  Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing) , 2006 .

[22]  Venu Govindaraju,et al.  A comparative study on the consistency of features in on-line signature verification , 2005, Pattern Recognit. Lett..

[23]  Charles E. Heckler,et al.  Applied Multivariate Statistical Analysis , 2005, Technometrics.

[24]  Jonas Richiardi,et al.  Local and global feature selection for on-line signature verification , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[25]  Madasu Hanmandlu,et al.  Off-line signature verification and forgery detection using fuzzy modeling , 2005, Pattern Recognit..

[26]  Bin Li,et al.  On-Line Signature Verification Based on PCA (Principal Component Analysis) and MCA (Minor Component Analysis) , 2004, ICBA.

[27]  Sharath Pankanti,et al.  Guide to Biometrics , 2003, Springer Professional Computing.

[28]  Aaron F. Bobick,et al.  Using similarity scores from a small gallery to estimate recognition performance for larger galleries , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[29]  George Forman,et al.  An Extensive Empirical Study of Feature Selection Metrics for Text Classification , 2003, J. Mach. Learn. Res..

[30]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[31]  Fabian Model,et al.  Statistical process control for large scale microarray experiments , 2002, ISMB.

[32]  Momiao Xiong,et al.  Generalized T2 test for genome association studies. , 2002, American journal of human genetics.

[33]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[34]  Minitab.  Statistical Methods for Quality Improvement , 2001 .

[35]  Ian H. Witten,et al.  Generating Accurate Rule Sets Without Global Optimization , 1998, ICML.

[36]  Y. Chen,et al.  Ratio-based decisions and the quantitative analysis of cDNA microarray images. , 1997, Journal of biomedical optics.

[37]  Nola D. Tracy,et al.  Decomposition of T2 for Multivariate Control Chart Interpretation , 1995 .

[38]  Gopal Kanji,et al.  100 Statistical Tests , 1994 .

[39]  R. Tibshirani,et al.  An Introduction to the Bootstrap , 1995 .

[40]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[41]  R. Vaccaro.  SVD and Signal Processing II: Algorithms, Analysis and Applications , 1991 .

[42]  H. Hotelling.  The Generalization of Student’s Ratio , 1931 .

[43]  Mukesh Patel,et al.  Off-Line Signature Recognition Systems , 2010 .

[44]  Sung-Hyuk Cha.  Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions , 2007 .

[45]  Piotr Porwik,et al.  Efficient spectral method of identification of linear Boolean function , 2004 .

[46]  Youn Min Chou,et al.  Power comparisons for a hotelling's t2 STATISTIC , 1999 .

[47]  Patricia S. O Sullivan,et al.  100 Statistical Tests , 1995 .

[48]  B. Kirkwood.  Essentials of medical statistics. , 1988 .

[49]  Bart lomiej,et al.  A Real Time Vehicle Detection Algorithm for Vision-Based Sensors , 2022 .