Evaluation of pattern classifiers for fingerprint and OCR applications

Pattern Recognition

Volumn 27, Issue 4, 1994, Pages 485-501

  Blue, J L ^a   Candela, G T ^a   Grother, P J ^a   Chellappa, R ^b   Wilson, C L ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Evaluation of classifiers; Fingerprints; Neural networks; Optical character recognition; Probabilistic neural networks; Radial basis functions; Statistical classifiers

Indexed keywords

CLASSIFICATION (OF INFORMATION); MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; OPTICAL CHARACTER RECOGNITION; PROBABILITY;

FINGERPRINT RECOGNITION; KARHUNEN-LOEVE TRANSFORM; MULTILAYER PERCEPTRON; PATTERN CLASSIFIERS; PROBABILISTIC NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; STATISTICAL CLASSIFIERS;

PATTERN RECOGNITION;

EID: 0028413630     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(94)90031-0     Document Type: Article

References (54)

1. A probabilistic model for evaluation of neural network classifiers
2. Statistical and neural classification of handwritten numerals: A comparative study
3. The First Optical Character Recognition Systems Conference
4. Digital pattern recognition by moments
5. Moment normalization of handprinted characters
6. Optical character recognition by the method of moments
7. Nearest neighbor pattern classification
8. Handwritten digit recognition with a back-propagation network
9. Neural network recognizer for hand-written zip code digits
10. Character recognition with selective attention
11. Recognizing Hand-Printed Letters and Digits Using Backpropagation Learning
12. Centered-object integrated segmentation and recognition for visual character recognition
13. A topological approach to the matching of single fingerprints: development of algorithms for use on rolled impressions
14. Fingerprint identification using graph matching
15. Automated fingerprint identification using structured matching
16. A syntactic approach to fingerprint pattern recognition
17. An application of stochastic languages to fingerprint pattern recognition
18. A Tree System Approach for Fingerprint Pattern Recognition
19. Type classification of fingerprints: a syntactic approach
20. Grammatical inference: introduction and survey—part I
21. Grammatical inference: introduction and survey—part II
22. Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks
23. Massively parallel neural network fingerprint classification system
24. Neural networks for fingerprint matching and classification (abstract)
25. Learning internal representations by error propagation
26. A scaled conjugate gradient algorithm for fast supervised learning
27. Training feed forward networks using conjugate gradients
28. Optimization of neural network topology and information content using Boltzmann methods
29. Topological separation versus weight sharing in neural network optimization
30. Structural risk minimization for character recognition
31. Handwritten segmented characters database
32. Handprinted character database
33. Experience in segmenting and recognizing the NIST database
34. Fingerprint database
35. Development and evaluation of a reader of fingerprint minutiae
36. Comparative performance of classification methods for fingerprints
37. Networks for approximation and learning
38. Learning representations by backpropagating errors
39. Function minimization by conjugate gradients
40. A scaled conjugate gradient algorithm for fast supervised learning
41. On the training of radial basis function classifiers
42. Improving the performance of radial basis function networks by learning center locations
43. Probabilistic neural networks
44. Could information theory provide an ecological theory of sensory processing?
45. On the limited memory BFGS method for large scale optimization