Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)

Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas

AAAI 2023 pp. 16298-16299

doi:10.1609/AAAI.V37I13.27009 /aaai/2023/poddar2023aaai-generative/

Abstract

Computer vision applications for document image understanding (DIU) such as optical character recognition, word spotting, enhancement etc. suffer from structural deformations like strike-outs and unconstrained strokes, to name a few. They also suffer from texture degradation due to blurring, aging, or blotting-spots etc. The DIU applications with deep networks are limited to constrained environment and lack diverse data with text-level and pixel-level annotation simultaneously. In this work, we propose a generative framework to produce realistic synthetic handwritten document images with simultaneous annotation of text and corresponding pixel-level spatial foreground information. The proposed approach generates realistic backgrounds with artificial handwritten texts which supplements data-augmentation in multiple unconstrained DIU systems. The proposed framework is an early work to facilitate DIU system-evaluation in both image quality and recognition performance at a go.

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Text

Poddar et al. "Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.27009

Markdown

[Poddar et al. "Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/poddar2023aaai-generative/) doi:10.1609/AAAI.V37I13.27009

BibTeX

@inproceedings{poddar2023aaai-generative,
  title     = {{Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)}},
  author    = {Poddar, Arnab and Sah, Abhishek Kumar and Dey, Soumyadeep and Jawanpuria, Pratik and Mukhopadhyay, Jayanta and Biswas, Prabir Kumar},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {16298-16299},
  doi       = {10.1609/AAAI.V37I13.27009},
  url       = {https://mlanthology.org/aaai/2023/poddar2023aaai-generative/}
}