Tid:

Klockan 15:00

Plats:

Sal 32, Hus 5 i Kräftriket

Titel: 

Character Recognition Using Persistent Homology

Abstract:

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.