Aligning transcript of historical documents using dynamic programming

Irina Rabaev; Rafi Cohen; Jihad El-Sana; Klara Kedem

doi:10.1117/12.2076062

8 February 2015 Aligning transcript of historical documents using dynamic programming

Irina Rabaev, Rafi Cohen, Jihad El-Sana, Klara Kedem

Proceedings Volume 9402, Document Recognition and Retrieval XXII; 94020I (2015) https://doi.org/10.1117/12.2076062
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

We present a simple and accurate approach for aligning historical documents with their corresponding transcription. First, a representative of each letter in the historical document is cropped. Then, the transcription is transformed to synthetic word images by representing the letters in the transcription by the cropped letters. These synthetic word images are aligned to groups of connected components in the original text, along each line, using dynamic programming. For measuring image similarities we experimented with a variety of feature extraction and matching methods. The presented alignment algorithm was tested on two historical datasets and provided excellent results.

Citation Download Citation

Irina Rabaev, Rafi Cohen, Jihad El-Sana, and Klara Kedem "Aligning transcript of historical documents using dynamic programming", Proc. SPIE 9402, Document Recognition and Retrieval XXII, 94020I (8 February 2015); https://doi.org/10.1117/12.2076062

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