Time: 15:00

Room: 32, house 5 in Kräftriket


Character Recognition Using Persistent Homology


We investigate the potential of using persistent homology based on curvature

filtrated tangent complexes to classify handwritten letters for recognition.

Attempting to replicate results from similar studies on a data set of diverse

hand-written letters, we employ a variety of methods of pre-processing to

arrive at a barcode representation. Through a metric defined on the bar-

codes, we can then cluster and compare different letters. Unfortunately,

with the methods investigated, no combination of parameters and alterna-

tive processing steps result in robust classification or even clustering of the

hand-written letters in our data set. We provide a full theoretical background 

as well as openly available implementations of all algorithms tested.