OHCS: A database for handwritten atomic Odia Character Recognition

By Ramesh Kumar Mohapatra, Tusar Kanti Mishra, Sandeep Panda, Banshidhar Majhi. 2015

18 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ankur Bapna
2. Yu Zhang
3. Jason Riesa
4. Clara Rivera
5. Alexis Conneau
6. Siddharth Dalmia
7. Orhan Firat
8. Sebastian Ruder

In Evaluation & Benchmarks

1. Ankur Bapna
2. Clara Rivera
3. Yu Zhang
4. Alexis Conneau
5. Jason Riesa

Citations in the corpus

• FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech (2022, background): “This is exacerbated by Odia’s unique script [38], which leads to the language being unrepresented in the tokenizer.”