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The alignment of text line images with text transcript is a crucial step of handwritten document annotation. Handwritten text alignment is prone to errors due to the difficulty of character segmentation and the variability of character shape, size and position. In this paper, we propose to incorporate the geometric context of character strings to improve the alignment accuracy for offline handwritten...
We present a study of the application of Computer Assisted Transcription of Text Images (CATTI) to a task which is much closer to real applications than other tasks previously studied. The new task consists in the transcription of a new publicly available historic handwritten document, called GERMANA. A detailed analysis of the main factors influencing the system performance are exposed and some strategies...
Digital ink texts in Chinese can neither be converted into users' desired layouts nor be recognized until their characters, lines, and paragraphs are correctly extracted. There are many errors in automatically segmented digital ink texts in Chinese because they are free forms and mixed with other languages, as well as their Chinese characters have small gaps and complex structures. Paragraphs, lines,...
In a multi-script multi-lingual environment, a document may contain text lines in more than one script/language forms. It is necessary to identify different script regions of the document in order to feed the document to the OCRs of individual language. With this context, this paper proposes to develop a monothetic algorithmic model to identify and separate text lines Telugu, Hindi and English scripts...
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