Handwriting recognition systems and methods
Systems and methods are provided for handwriting recognition. Handwriting data is received. Geometric data of text in handwriting data is determined. Sub-characters of the text are determined. Sub-characters of text are matched to a model. Most probable characters of the text are determined based on the matching.
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 matching sub-characters of text to a model comprises:
estimating empirical conditional probability P(dlh) of parameter data based on hypothesis from order statistics of a parameter;
using signed functional distance that is not scalar; and
estimating non-parameterized empirical probability over stratified character and sub-character populations.