Unsupervised Deep Learning in Character Recognition
| Autor: | Asif Iqbal Khan, Saduf Afzal, Farooq Ahmad Bhat, M. Arif Wani |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Form processing
Computer science business.industry Deep learning media_common.quotation_subject Money order computer.software_genre Task (project management) ComputingMethodologies_PATTERNRECOGNITION Reading (process) Benchmark (computing) Digit recognition Artificial intelligence business computer Character recognition Natural language processing media_common |
| Zdroj: | Studies in Big Data ISBN: 9789811367939 |
| DOI: | 10.1007/978-981-13-6794-6_8 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|