A Survey of Methods and Strategies in Character Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Construction of partitioning paths for touching handwritten characters
Non-Linear Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Method for Segmenting Unconstrained Handwritten Numeral String
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Segmentation of numeric strings
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
A system for segmenting and recognising totally unconstrained handwritten numeral strings
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
A System for Segmentation and Recognition of Totally Unconstrained Handwritten Numeral Strings
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A new system for reading handwritten zip codes
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
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
Recognition of Printed Urdu Script
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Segmentation of Bangla Unconstrained Handwritten Text
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Multi-Script Line identification from Indian Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
An Old Greek Handwritten OCR System
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Synthetic Database to Assess Segmentation Algorithms
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Segmentation of Connected Chinese Characters Based on Genetic Algorithm
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Segmentation of Connected Handwritten Numerals by Graph Representation
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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
Filtering segmentation cuts for digit string recognition
Pattern Recognition
Word-Wise Thai and Roman Script Identification
ACM Transactions on Asian Language Information Processing (TALIP)
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
Expert Systems with Applications: An International Journal
Lampung - a new handwritten character benchmark: database, labeling and recognition
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
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
Segmentation of connected handwritten digits using Self-Organizing Maps
Expert Systems with Applications: An International Journal
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This paper deals with a new technique for automatic segmentation of unconstrained handwritten connected numerals. To take care of variability involved in the writing style of different individuals a robust scheme is presented here. The scheme is mainly based on features obtained from a concept based on water reservoir. A reservoir is a metaphor to illustrate the region where numerals touch. Reservoir is obtained by considering accumulation of water poured from the top or from the bottom of the numerals. At first, considering reservoir location and size, touching position (top, middle or bottom) is decided. Next, analyzing the reservoir boundary, touching position and topological features of the touching pattern, the best cutting point is determined. Finally, combined with morphological structural features the cutting path for segmentation is generated. The proposed scheme is tested on French bank check data and an accuracy about 94.8% is obtained from the system.