Evaluation of pattern classifiers for fingerprint and OCR applications

[1]  Patrick J. Grother,et al.  Cross-validation comparison of NIST OCR databases , 1993, Electronic Imaging.

[2]  Rama Chellappa,et al.  Comparative Performance of Classification Methods for Fingerprints | NIST , 1993 .

[3]  Martin Fodslette Møller,et al.  A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.

[4]  Mohamad T. Musavi,et al.  A probabilistic model for evaluation of neural network classifiers , 1992, Pattern Recognit..

[5]  Majid Ahmadi,et al.  Statistical and neural classification of handwritten numerals: a comparative study , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

[6]  Patrick J. Grother,et al.  Training feed-forward neural networks using conjugate gradients , 1992, Electronic Imaging.

[7]  Mohamad T. Musavi,et al.  On the training of radial basis function classifiers , 1992, Neural Networks.

[8]  Charles L. Wilson,et al.  Topological Separation Versus Weight Sharing in Neural Network Optimization | NIST , 1992 .

[9]  Craig I. Watson,et al.  Massively Parallel Neural Network Fingerprint Classification System | NIST , 1992 .

[10]  O. M. Omidvar,et al.  Optimization of neural network topology and information content using Boltzmann methods , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[11]  C. Lee Giles,et al.  Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks , 1992, Neural Computation.

[12]  Patrick J. Grother,et al.  The First Census Optical Character Recognition Systems Conference | NIST , 1992 .

[13]  Isabelle Guyon,et al.  Structural Risk Minimization for Character Recognition , 1991, NIPS.

[14]  Thomas G. Dietterich,et al.  Improving the Performance of Radial Basis Function Networks by Learning Center Locations , 1991, NIPS.

[15]  Kunihiko Fukushima,et al.  Character recognition with selective attention , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[16]  James A. Pittman,et al.  Recognizing Hand-Printed Letters and Digits Using Backpropagation Learning , 1991, Neural Computation.

[17]  Belur V. Dasarathy,et al.  Nearest neighbor (NN) norms: NN pattern classification techniques , 1991 .

[18]  Farid U. Dowla,et al.  Backpropagation Learning for Multilayer Feed-Forward Neural Networks Using the Conjugate Gradient Method , 1991, Int. J. Neural Syst..

[19]  F. Girosi,et al.  Networks for approximation and learning , 1990, Proc. IEEE.

[20]  James A. McHugh,et al.  Automated fingerprint recognition using structural matching , 1990, Pattern Recognit..

[21]  Emmanuel Skordalakis,et al.  Syntactic Pattern Recognition of the ECG , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Donald F. Specht,et al.  Probabilistic neural networks , 1990, Neural Networks.

[23]  Jorge Nocedal,et al.  On the limited memory BFGS method for large scale optimization , 1989, Math. Program..

[24]  Lawrence D. Jackel,et al.  Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.

[25]  Erdal Panayirci,et al.  Extension of the Cox-Lewis method for testing multi-dimensional data , 1988 .

[26]  Isabelle Guyon,et al.  Neural Network Recognizer for Hand-Written Zip Code Digits , 1988, NIPS.

[27]  Mehdi Hatamian,et al.  Optical character recognition by the method of moments , 1987 .

[28]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[29]  Safwat G. Zaky,et al.  Fingerprint identification using graph matching , 1986, Pattern Recognit..

[30]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[31]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[32]  King-Sun Fu,et al.  A Tree System Approach for Fingerprint Pattern Recognition , 1976, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  M. K. Nistsparrow,et al.  A Topological Approach to the Matching of Single Fingerprints: Development of Algorithms for Use on Rolled Impressions , 1985 .

[34]  C. V. Kameswara Rao,et al.  Type Classification of Fingerprints: A Syntactic Approach , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  King-Sun Fu,et al.  An application of stochastic languages to fingerprint pattern recognition , 1976, Pattern Recognit..

[36]  Taylor L. Booth,et al.  Grammatical Inference: Introduction and Survey-Part I , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[37]  John A. Hartigan,et al.  Clustering Algorithms , 1975 .

[38]  King-Sun Fu,et al.  A syntactic approach to fingerprint pattern recognition , 1975, Pattern Recognit..

[39]  Taylor L. Booth,et al.  Grammatical Inference: Introduction and Survey - Part I , 1975, IEEE Trans. Syst. Man Cybern..

[40]  Taylor L. Booth,et al.  Grammatical Inference: Introduction and Survey-Part II , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[41]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[42]  Robert S. Ledley,et al.  Special issue on Optical Character Recognition , 1970, Pattern Recognit..

[43]  R. Casey Moment normalization of handprinted characters , 1970 .

[44]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[45]  Nils J. Nilsson,et al.  Learning Machines: Foundations of Trainable Pattern-Classifying Systems , 1965 .

[46]  C. M. Reeves,et al.  Function minimization by conjugate gradients , 1964, Comput. J..

[47]  Franz L. Alt,et al.  Digital Pattern Recognition by Moments , 1962, JACM.