1. A computer-implemented system that facilitates handwriting recognition and normalization, comprising: a processor; and a memory component communicatively coupled to the processor, the memory component having stored therein computer-executable instructions configured to implement the system including: a classifier component that receives as input data related to a digitally handwritten document, the digitally handwritten document including an original trajectory comprising a plurality of original points, the classifier component labels extrema in the original trajectory; a regression component that evaluates offsets between extrema in the handwritten words and determines new positions for respective extrema, and performs a non-linear warping technique that aligns extrema points to the new positions indicated by the classifier labels; an interpolation component that interpolates a new position for each of the original points from the new positions for the extrema so as to create an interpolated trajectory comprising a plurality of interpolated points; and a displacement component that adjusts each of the interpolated points as a function of whether the interpolated point adheres to a local ink preservation constraint, the local ink preservation constraint being a constraint on how much each interpolated point may deviate from a corresponding original point.
1. A computer-implemented system that facilitates handwriting recognition and normalization, comprising: a processor; and a memory component communicatively coupled to the processor, the memory component having stored therein computer-executable instructions configured to implement the system including: a classifier component that receives as input data related to a digitally handwritten document, the digitally handwritten document including an original trajectory comprising a plurality of original points, the classifier component labels extrema in the original trajectory; a regression component that evaluates offsets between extrema in the handwritten words and determines new positions for respective extrema, and performs a non-linear warping technique that aligns extrema points to the new positions indicated by the classifier labels; an interpolation component that interpolates a new position for each of the original points from the new positions for the extrema so as to create an interpolated trajectory comprising a plurality of interpolated points; and a displacement component that adjusts each of the interpolated points as a function of whether the interpolated point adheres to a local ink preservation constraint, the local ink preservation constraint being a constraint on how much each interpolated point may deviate from a corresponding original point. 8. The system of claim 1 , the regression component implementing a polynomial regression to compute target positions of extrema of a same class.