Statistical methods for speech recognition
Statistical methods for speech recognition
An Omnifont Open-Vocabulary OCR System for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Repulsive attractive network for baseline extraction on document images
Signal Processing
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
A Hough based algorithm for extracting text lines in handwritten documents
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text line segmentation of historical documents: a survey
International Journal on Document Analysis and Recognition
Computer Assisted Transcription for Ancient Text Images
ICIAR '07 Proceedings of the 4th international conference on Image Analysis and Recognition
IBM Journal of Research and Development
Multimodal interactive transcription of text images
Pattern Recognition
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Document layout analysis is an important task needed for handwritten text recognition among other applications. Text layout commonly found in handwritten legacy documents is in the form of one or more paragraphs composed of parallel text lines. An approach for handwritten text line detection is presented which uses machine-learning techniques and methods widely used in natural language processing. It is shown that text line detection can be accurately solved using a formal methodology, as opposed to most of the proposed heuristic approaches found in the literature. Experimental results show the impact of using increasingly constrained "vertical layout language models" in text line detection accuracy.