BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset

Mithun Biswas; Rafiqul Islam; Gautam Kumar Shom; Md Shopon; Nabeel Mohammed; Sifat Momen; Md Anowarul Abedin

BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset

Computation and Language 2017-04-03 v1

Authors: Mithun Biswas , Rafiqul Islam , Gautam Kumar Shom , Md Shopon , Nabeel Mohammed , Sifat Momen , Md Anowarul Abedin

View on arXiv ↗ PDF ↗

Abstract

Bangla handwriting recognition is becoming a very important issue nowadays. It is potentially a very important task specially for Bangla speaking population of Bangladesh and West Bengal. By keeping that in our mind we are introducing a comprehensive Bangla handwritten character dataset named BanglaLekha-Isolated. This dataset contains Bangla handwritten numerals, basic characters and compound characters. This dataset was collected from multiple geographical location within Bangladesh and includes sample collected from a variety of aged groups. This dataset can also be used for other classification problems i.e: gender, age, district. This is the largest dataset on Bangla handwritten characters yet.

Keywords

Bangla handwritten character recognition dataset isolated characters classification optical character recognition

Cite

@article{arxiv.1703.10661,
  title  = {BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset},
  author = {Mithun Biswas and Rafiqul Islam and Gautam Kumar Shom and Md Shopon and Nabeel Mohammed and Sifat Momen and Md Anowarul Abedin},
  journal= {arXiv preprint arXiv:1703.10661},
  year   = {2017}
}

Comments

Bangla Handwriting Dataset, OCR

BanglaLekha-Isolated: A Comprehensive Bangla Handwritten Character Dataset

Abstract

Keywords

Cite

Comments

Related papers