We present a simple and accurate approach for aligning historical documents with their corresponding transcription.
First, a representative of each letter in the historical document is cropped.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.