Patents Assigned to Loyalty Angels Ltd.
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Patent number: 11281932Abstract: 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 cType: GrantFiled: May 13, 2020Date of Patent: March 22, 2022Assignee: Loyalty Angels LtdInventors: Lee David Clarke, Gregory Peter Gormley
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Publication number: 20200272846Abstract: 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 cType: ApplicationFiled: May 13, 2020Publication date: August 27, 2020Applicant: Loyalty Angels LtdInventors: Lee David Clarke, Gregory Peter Gormley
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Patent number: 10713526Abstract: 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 cType: GrantFiled: November 23, 2016Date of Patent: July 14, 2020Assignee: Loyalty Angels Ltd.Inventors: Lee David Clarke, Gregory Peter Gormley
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Publication number: 20180357506Abstract: 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 cType: ApplicationFiled: November 23, 2016Publication date: December 13, 2018Applicant: Loyalty Angels Ltd.Inventors: Lee David CLARKE, Gregory Peter GORMLEY