US 12,249,112 B1
Handwriting recognition systems and methods
Thomas O Binford, Cupertino, CA (US)
Assigned to Read-Ink Corporation, Cupertino, CA (US)
Filed by Read-Ink Corporation, Cupertino, CA (US)
Filed on Jan. 24, 2022, as Appl. No. 17/583,063.
Application 16/925,090 is a division of application No. 16/419,635, filed on May 22, 2019, granted, now 10,748,031, issued on Aug. 18, 2020.
Application 17/583,063 is a continuation of application No. 16/925,090, filed on Jul. 9, 2020, granted, now 11,232,322.
Int. Cl. G06V 10/00 (2022.01); G06T 7/60 (2017.01); G06V 10/426 (2022.01); G06V 10/44 (2022.01); G06V 10/75 (2022.01); G06V 30/148 (2022.01); G06V 30/262 (2022.01); G06V 30/32 (2022.01); G06V 30/10 (2022.01)
CPC G06V 10/751 (2022.01) [G06T 7/60 (2013.01); G06V 10/426 (2022.01); G06V 10/44 (2022.01); G06V 30/153 (2022.01); G06V 30/268 (2022.01); G06V 30/347 (2022.01); G06V 30/36 (2022.01); G06T 2207/30176 (2013.01); G06V 30/10 (2022.01)] 5 Claims
OG exemplary drawing
 
1. A method for recognizing handwriting, the method comprising:
receiving handwriting data;
determining geometric data of text in handwriting data;
determining sub-characters of the text;
matching sub-characters of text to a model; and
determining most probable characters of the text based on said matching,
wherein the model includes co-articulation of every pair of characters to make use of their orthographic evidence to reduce their variance.