A novel way of identifying suspect picture files

Current procedures for the detection and identification of suspect picture files relies on the use of MD5 hashing and then using the resultant hash value to search a database of known hash values for a match, to identify any suspect file. Even a slight modification to the suspect file causes a different hash value to be created which will then fail to generate a match from the records in the database. A novel approach is proposed by converting the suspect picture file to a sound file, generating a `fingerprint´ for this sound wave and using a matching algorithm to identify the file from a suspect file database.