Image capture and identification system and process

1. A method for identifying an object from a digitally captured image thereof whose image characteristics are present in at least one database including:

decomposing the digitally captured image into a group of characterization parameter sets by normalizing the captured image in all color planes with linear gains and offset transformations;

comparing each of said characterization parameter sets with identical parameters of known objects stored in the at least one database;

producing a best match from the at least one database to identify the object; and

returning the best match from an identification server having access to the at least one database.

2. The method as defined in claim 1 further including before decomposing the digitally captured image:

determining if the digitally captured image includes at least one symbolic image, and if such is included;

decoding the at least one symbolic image;

comparing the decoded at least one symbolic image to a database of decoded symbolic images; and

determining a level of confidence that the object has been identified.

3. The method as defined in claim 2 further including:

reducing the database choices in accordance with the determined level of confidence with which said comparing each of said group of characterization parameter sets with identical parameters of known objects stored in the at least one database is performed.

4. The method as defined in claim 1 wherein the at least one database includes:

an information address associated with the objects, and wherein said method includes:

establishing a connection between an information address associated with the identified object and the user.

5. The method as defined in claim 1 wherein the at least one database includes:

operative devices for interaction with the user when identified as the object.

6. The method defined in claim 1 wherein the decomposing the digitally captured image into a group of characterization parameter sets includes:

performing a radiometric correction of the digitally captured image by:

transforming the digitally captured image to one of a set of digital numbers per color plane, RGB representation.

7. The method defined in claim 1 wherein the decomposing the digitally captured image into a group of characterization parameter sets includes:

grouping of image parameters to produce a plurality of related parameter sets.

8. The method defined in claim 1 further including:

further narrowing the classification of the at least one object by decoding at least one symbol in the at least one image.

9. The method defined in claim 1 further including:

obtaining information pertinent to at least one object by capturing at least one image of the at least one object;

recognizing the appearance of the at least one object in the at least one image;

determining at least one information address corresponding to the at least one object; and

communicating with at least one information resource, such as at least one computer, corresponding to the at least one information address.

10. The method defined in claim 1 further including:

establishing communication pertinent to to at least one object by capturing at least one image of the at least one object;

recognizing the appearance of the at least one object in the at least one image;

determining at least one information address corresponding to the at least one object; and

accessing information from at least one information resource, such as at least one computer, corresponding to the at least one information address.

11. The method defined in claim 1 wherein for each determined output:

comparing each against the at least one database; and

producing best matches from the at least one database.

12. A method for identifying to a user a multi-dimensional object from at least one digitally captured image thereof whose image characteristics are present in at least one database including:

decomposing the at least one digitally captured image into a group of parameters of different types by normalizing the captured image in all color planes with linear gains and offset transformations;

comparing the parameters of each type of the group of different parameter types with parameters of matching types of the different parameter types of known objects stored in the at least one database;

producing a parameter match to a user from at least one parameter type, with respect to the at least one database for a high probability identification of the object; and

returning the parameter match from an identification server having access to the at least one database.

13. The method defined in claim 12 wherein the producing a parameter match to a user from at least one parameter type, with respect to the at least one database for a high probability identification of the object includes:

producing the best parameter match from a plurality of parameters.

14. The method defined in claim 12 wherein the producing a parameter match to a user from at least one parameter type, with respect to the at least one database for a high probability identification of the object includes:

producing the best match from at least one group of a plurality of parameter types.

15. The method defined in claim 12 wherein the decomposing the digitally captured image into a group of parameters of different types includes:

performing a radiometric correction of the at least one digitally captured image by:

transforming the at least one digitally captured image to at least one of a set of digital numbers per color plane, RGB representation.

16. The method defined in claim 12 further including:

initiating a telephone call pertinent to the identified object, from a portable telephone;

capturing the at least one digitally captured image object using a camera in the portable telephone;

determining at least one telephone number corresponding to the object, and

initiating a telephone call to the at least one telephone number.