Introduction to algorithms
Building a new generation of handwriting recognition systems
Pattern Recognition Letters - Postal processing and character recognition
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal combinations of pattern classifiers
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Database for Handwritten Text Recognition Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Multi-Experts for Touching Digit String Recognition
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
MergeLayouts - Overcoming Faulty Segmentations by a Comprehensive Voting of Commercial OCR Devices
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Combining Classifiers Based on Minimization of a Bayes Error Rate
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Evaluation of Combination Methods
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Application of majority voting to pattern recognition: an analysis of its behavior and performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Combinations of weak classifiers
IEEE Transactions on Neural Networks
Video text recognition using sequential Monte Carlo and error voting methods
Pattern Recognition Letters
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Design and evaluation of an adaptive combination framework for OCR result strings
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Ensemble methods to improve the performance of an English handwritten text line recognizer
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
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In this paper, we contribute a new paradigm of combining string recognizers and propose generic frameworks for hierarchical and parallel combination of multiple string recognizers. The frameworks are open to any new achievement in either recognizers or combination algorithms, and can be applied to both machine-printed and handwritten string recognition problems. A parallel combination system, StrCombo, is implemented based on three independent alphanumeric handwritten string recognizers that act as black boxes. We propose a graph-based approach that regards each segment from individual string recognizers as nodes of a graph, and choose the optimal path with the lowest cost to output a combined result. All factors such as the agreement of size, classification, and the position are converted into a measurement resulting in a soft decision. StrCombo has achieved a substantial improvement over any one of the individual recognizers, as demonstrated by experimental results on standard numeral string databases and a non-standard alphanumeric string database from real-life applications.