On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Date Field on Bank Cheques
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Scale Space Technique for Word Segmentation in Handwritten Documents
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Segmentation of the Date in Entries of Historical Church Registers
Proceedings of the 24th DAGM Symposium on Pattern Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
A Scale Space Approach for Automatically Segmenting Words from Historical Handwritten Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tree Structure forWord Extraction from Handwritten Text Lines
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Word Separation of Unconstrained Handwritten Text Lines in PCR Forms
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Handwritten word-spotting using hidden Markov models and universal vocabularies
Pattern Recognition
Text line and word segmentation of handwritten documents
Pattern Recognition
A restoration and segmentation unit for the historic persian documents
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
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The problem of separating words in a handwritten line is made difficult by the presence of non-uniform spacing between words and between characters within a word. A central sub-problem in word separation is the estimation of gaps between adjacent components in a line. We present a new technique to estimate inter-component distances that is based on the gap between their convex hulls. The technique evolved through a study of the drawbacks in previous approaches to gap estimation, and is shown to be better in terms of performance and robustness.