Binary Document Image Super Resolution for Improved Readability and OCR Performance

Understand

There is a need for information retrieval from large collections of low-resolution (LR) binary document images, which can be found in digital libraries across the world, where the high-resolution (HR) counterpart is not available.

• This gives rise to the problem of binary document image super-resolution (BDISR).
• The objective of this paper is to address the interesting and challenging problem of super resolution of binary Tamil document images for improved readability and better optical character recognition (OCR).
• We propose multiple deep neural network architectures to address this problem and analyze their performance.