Unsupervised Deep Learning in Character Recognition

Abstract

The recognition of handwritten digits is a well-researched problem and has many applications in real life. The important applications include automatic reading of addresses on postal envelopes, automated form processing, automated processing of handwritten bank cheques, and filled-in forms like questionnaires or money orders. Digit recognition serves as an evaluation task because the problem is well defined and benchmark datasets are easily available.