PT Unknown
AU Jialuo Chen
   Mohamed Ali Souibgui
   Alicia Fornes
   Beata Megyesi
TI Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images
BT 4th International Conference on Historical Cryptology
PY 2021
BP 34
EP 37
AB Historical ciphers contain a wide range ofsymbols from various symbol sets.  Iden-tifying  the  cipher  alphabet  is  a  prerequi-site before decryption can take place andis a time-consuming process. In this workwe explore the use of image processing foridentifying the underlying alphabet in ci-pher images, and to compare alphabets be-tween ciphers. The experiments show thatciphers with similar alphabets can be suc-cessfully discovered through clustering.
ER