Backpropagation: the basic theory
Backpropagation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
A Two-Stage HMM-Based System for Recognizing Handwritten Numeral Strings
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A Modular System to Recognize Numerical Amounts on Brazilian Bank Checks
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Integrated segmentation and recognition of handwritten numeralswith cascade neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Analysis of errors of handwritten digits made by a multitude of classifiers
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
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In this paper we discuss the use of high-level verification on handwritten numeral strings. First of all, we introduce the concept of levels of verification and present the baseline system used to carry out the experiments. Two different strategies were developed: absolute and one-to-one verifiers. A thorough error analysis is also presented in order to identify under which conditions high-level verification is more appropriate. Experimental results are presented on NIST SD19 database.