Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c

Abstract: A computer-implemented method for identifying a user in each of two separate domains using a single user identifier via a single identification system so as to permit authorisation of at least one action, the method comprising: receiving a request to identify the user and authorise an action in the first domain; performing a first identification process to identify the user in the first domain, the first identification process comprising: receiving input data relating to a user at an identification system; obtaining a first user identification key from the input data for identifying the user in a first domain and for authorising an action based upon the identification in the first domain; identifying the user in a first domain by using the first identification key; authorising an action based at least in part on the identifying step: and terminating the first identification process; and performing a second identification process to identify the user in the second domain after the first user identification key

Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c

Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c

Abstract: A data extraction system for extracting a unique identifier from a plurality of different types of tokens, the data extraction system comprising a central processing system arranged to receive a data string representing an image of the token, the central processing system comprises: a data store of predetermined data records relating to the plurality of different types of token, each predetermined data record including a plurality of discrete features derived from an image of each type of token; a token type recognition module for identifying a type of token which the representation relates to, the recognition module comprising: a discrete feature identifier for iteratively identifying discrete features present in the representation; and a matching engine for iteratively comparing each of the identified features with each of the discrete features of the plurality of different types of token stored in the data store and registering each matched feature; wherein the recognition module is arranged to compare a c