Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy

Authors:
Luiz S. Oliveira;Robert Sabourin;Flávio Bortolozzi;Ching Y. Suen
Affiliations:
-;-;-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2002

Citing 11
Cited 38

Recognition of isolated and simply connected hand-written numerals

Pattern Recognition
Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters

Advances in neural information processing systems 2
Off-Line, Handwritten Numeral Recognition by Perturbation Method

IEEE Transactions on Pattern Analysis and Machine Intelligence
Integration of Structural and Statistical Information for Unconstrained Handwritten Numeral Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Document Image Decoding Using Markov Source Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
An automatic reading system for handwritten numeral amounts on French checks

ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
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

A Recognition and Verification Strategy for Handwritten Word Recognition

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Effects of Classifier Structures and Training Regimes on Integrated Segmentation and Recognition of Handwritten Numeral Strings

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic extraction of numerical sequences in handwritten incoming mail documents

Pattern Recognition Letters
A Synthetic Database to Assess Segmentation Algorithms

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Improving Cascading Classifiers with Particle Swarm Optimization

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Intelligent Feature Extraction for Ensemble of Classifiers

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An implicit segmentation-based method for recognition of handwritten strings of characters

Proceedings of the 2006 ACM symposium on Applied computing
A genetic framework using contextual knowledge for segmentation and recognition of handwritten numeral strings

Pattern Recognition
Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition

Pattern Recognition
Pairwise fusion matrix for combining classifiers

Pattern Recognition
Introducing a very large dataset of handwritten Farsi digits and a study on their varieties

Pattern Recognition Letters
Data-driven decomposition for multi-class classification

Pattern Recognition
From dynamic classifier selection to dynamic ensemble selection

Pattern Recognition
From dynamic classifier selection to dynamic ensemble selection

Pattern Recognition
Using the RRT algorithm to optimize classification systems for handwritten digits and letters

Proceedings of the 2008 ACM symposium on Applied computing
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles

Pattern Recognition
Filtering segmentation cuts for digit string recognition

Pattern Recognition
Pareto analysis for the selection of classifier ensembles

Proceedings of the 10th annual conference on Genetic and evolutionary computation
Overfitting in the selection of classifier ensembles: a comparative study between PSO and GA

Proceedings of the 10th annual conference on Genetic and evolutionary computation
Overfitting cautious selection of classifier ensembles with genetic algorithms

Information Fusion
A PSO-based framework for dynamic SVM model selection

Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters

Pattern Recognition
Handwritten character recognition through two-stage foreground sub-sampling

Pattern Recognition
Thanatos: automatically retrieving information from death certificates in Brazil

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Multi-objective genetic algorithms to create ensemble of classifiers

EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A multi-objective memetic algorithm for intelligent feature extraction

EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Dynamic selection of ensembles of classifiers using contextual information

MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Off-line cursive script recognition: current advances, comparisons and remaining problems

Artificial Intelligence Review
Assessing handwitten digit segmentation algorithms

Proceedings of the 27th Annual ACM Symposium on Applied Computing
Attention-Feedback Based Robust Segmentation of Online Handwritten Isolated Tamil Words

ACM Transactions on Asian Language Information Processing (TALIP)
Handwritten characters recognition based on nature-inspired computing and neuro-evolution

Applied Intelligence
Feature representation selection based on Classifier Projection Space and Oracle analysis

Expert Systems with Applications: An International Journal
Effect of ensemble classifier composition on offline cursive character recognition

Information Processing and Management: an International Journal
A GA-based feature selection approach with an application to handwritten character recognition

Pattern Recognition Letters
Zoning methods for handwritten character recognition: A survey

Pattern Recognition

Quantified Score

Hi-index	0.15

Visualization

Abstract

A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and a Recognition and Verification strategy. The approach combines the outputs from different levels such as segmentation, recognition, and postprocessing in a probabilistic model. A new verification scheme which contains two verifiers to deal with the problems of oversegmentation and undersegmentation is presented. A new feature set is also introduced to feed the oversegmentation verifier. A postprocessor based on a deterministic automaton is used and the global decision module makes an accept/reject decision. Finally, experimental results on two databases are presented: numerical amounts on Brazilian bank checks and NIST SD19. The latter aims at validating the concept of modular system and showing the robustness of the system using a well-known database.