A graph-based approach for transcribing ancient documents

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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Abstract
Over the last years, the interest in preserving digitally ancient documents has increased resulting in databases with a huge amount of image data. Most of these documents are not transcribed and thus querying operations are limited to basic searching. We propose a novel approach for transcribing historical documents and present results of our initial experiments. Our method divides a text-line image into frames and constructs a graph using the framed image. Then Dijkstra algorithm is applied to find the line transcription. Experiments show a character accuracy of 79.3%. © Springer-Verlag Berlin Heidelberg 2012.
Description
Keywords
Artificial intelligence , Experiments , Graph theory , Support vector machines , Ancient documents , Dijkstra algorithms , Graph-based , Handwriting recognition , Historical documents , Image data , Shortest path algorithms , Transcription
Citation
URI
https://hdl.handle.net/20.500.12590/15889
Collections
Artículos - Ciencias de la Computación