Abstract: A method of identifying an entity from text in a digital image includes the step of obtaining a digital image. The digital image includes a digital photograph of a physical text. At least a portion of the physical text is related to a pre-defined topic. The digital photograph of the physical text is converted to a text in a computer-readable format. A word dictionary is provided. The word dictionary includes a set of words related to the pre-defined topic. A set of words of matching the text to similar words in the set of words in the word dictionary. A word cluster in the text is identified. Each word in the word cluster is associated with a category of a single entity. The single entity is a member of a class of entities demarcated by the pre-defined topic. A database including a list of members of the class of entities demarcated by the pre-defined topic is search for one or more entities matching one or more of word-category associations of the word cluster.

Abstract: A method of identifying an entity from text in a digital image includes the step of obtaining a digital image. The digital image includes a digital photograph of a physical text. At least a portion of the physical text is related to a pre-defined topic. The digital photograph of the physical text is converted to a text in a computer-readable format. A word dictionary is provided. The word dictionary includes a set of words related to the pre-defined topic. A set of words of matching the text to similar words in the set of words in the word dictionary. A word cluster in the text is identified. Each word in the word cluster is associated with a category of a single entity. The single entity is a member of a class of entities demarcated by the pre-defined topic. A database including a list of members of the class of entities demarcated by the pre-defined topic is search for one or more entities matching one or more of word-category associations of the word cluster.

Abstract: A method of identifying an entity from text in a digital image includes the step of obtaining a digital image. The digital image includes a digital photograph of a physical text. At least a portion of the physical text is related to a pre-defined topic. The digital photograph of the physical text is converted to a text in a computer-readable format. A word dictionary is provided. The word dictionary includes a set of words related to the pre-defined topic. A set of words of matching the text to similar words in the set of words in the word dictionary. A word cluster in the text is identified. Each word in the word cluster is associated with a category of a single entity. The single entity is a member of a class of entities demarcated by the pre-defined topic. A database including a list of members of the class of entities demarcated by the pre-defined topic is search for one or more entities matching one or more of word-category associations of the word cluster.