Aligning transcript of historical documents using dynamic programming
Document Recognition and Retrieval XXII, 2015•spiedigitallibrary.org
We present a simple and accurate approach for aligning historical documents with their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 First, a representative of each letter in the historical document is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 …
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 First, a representative of each letter in the historical document is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 …
We present a simple and accurate approach for aligning historical documents with their corresponding transcription. First, a representative of each letter in the historical document is cropped.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.
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