Kevin Dale Craft, 495625 Regency Park Ct APT 6, Suitland, MD 20746

2019005, Feb 14, 2019

Oct 15, 2018

16/160975

- Dallas TX, US
Alexander Scott Leverington - Dallas TX, US
Kevin Michael Craft - Dallas TX, US

G06K 9/00
G06K 9/66
G06K 9/64
G06K 9/46

A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.

2016002, Jan 28, 2016

Oct 5, 2015

14/875397

- Dallas TX, US
Alexander Scott Leverington - Dallas TX, US
Kevin Michael Craft - Dallas TX, US

G06K 9/00
G06K 9/46
G06K 9/66

A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features arc present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.

2014033, Nov 13, 2014

Jun 5, 2013

13/910637

- Dallas TX, US
Alexander Scott Leverington - Dallas TX, US
Kevin Michael Craft - Dallas TX, US

G06K 9/00
G06K 9/66

382160

A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.