IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated forms-processing software and services
IBM Journal of Research and Development
A New Methodology for Gray-Scale Character Segmentation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A heuristic algorithm for optical character recognition of Arabic script
Signal Processing
An Off-Line Cursive Handwriting Recognition System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chaincode Contour Processing for Handwritten Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
One-dimensional representation of two-dimensional information for HMM based handwriting recognition
Pattern Recognition Letters
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Handwritten Word Recognition Using Lexicon Free and Lexicon Directed Word
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Strategies in character segmentation: a survey
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
A2iA Check Reader: A Family of Bank Check Recognition Systems
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Estimating the baseline for written material
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
A New Scheme for Off-Line Handwritten Connected Digit Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A System for Cursive Handwritten Address Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Character Recognizer for Turkish Language
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Recognition and Verification of Unconstrained Handwritten Words
IEEE Transactions on Pattern Analysis and Machine Intelligence
Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling
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
Recognition of degraded characters using dynamic Bayesian networks
Pattern Recognition
Handwritten Arabic character recognition using multiple classifiers based on letter form
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Semi-automatic training sets acquisition for handwriting recognition
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
Expert Systems with Applications: An International Journal
Similarity-based training set acquisition for continuous handwriting recognition
Information Sciences: an International Journal
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
Effect of ensemble classifier composition on offline cursive character recognition
Information Processing and Management: an International Journal
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In this paper, a new analytic scheme, which uses a sequence of segmentation and recognition algorithms, is proposed for offline cursive handwriting recognition problem. First, some global parameters, such as slant angle, baselines, and stroke width and height are estimated. Second, a segmentation method finds character segmentation paths by combining gray scale and binary information. Third, Hidden Markov Model (HMM) is employed for shape recognition to label and rank the character candidates. For this purpose, a string of codes is extracted from each segment to represent the character candidates. The estimation of feature space parameters is embedded in HMM training stage together with the estimation of the HMM model parameters. Finally, the lexicon information and HMM ranks are combined in a graph optimization problem for word-level recognition. This method corrects most of the errors produced by segmentation and HMM ranking stages by maximizing an information measure in an efficient graph searchalgorithm. The experiments in dicate higher recognition rates compared to the available methods reported in the literature.