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Unsupervised Domain Adaptation for Symbol Spotting in Historical Encrypted Manuscripts
The decipherment of historical encrypted manuscripts poses a fundamental challenge in Digital Humanities: before any transcription can begin, the symbol inventory of the underlying cipher alphabet must first be identified and characterized. We address this challenge through symbol spotting: given a
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