Search Results for author: Praveen Krishnan

Found 8 papers, 5 papers with code

DISGO: Automatic End-to-End Evaluation for Scene Text OCR

no code implementations25 Aug 2023 Mei-Yuh Hwang, Yangyang Shi, Ankit Ramchandani, Guan Pang, Praveen Krishnan, Lucas Kabela, Frank Seide, Samyak Datta, Jun Liu

This paper discusses the challenges of optical character recognition (OCR) on natural scenes, which is harder than OCR on documents due to the wild content and various image backgrounds.

Machine Translation Optical Character Recognition +2

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

1 code implementation15 Jun 2021 Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner

We present a novel approach for disentangling the content of a text image from all aspects of its appearance.

Disentanglement

A Multiplexed Network for End-to-End, Multilingual OCR

1 code implementation CVPR 2021 Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J Liang, Praveen Krishnan, Xi Yin, Tal Hassner

Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that includes both detection and recognition leads to the best results.

Optical Character Recognition (OCR) Text Detection

Improving Word Recognition using Multiple Hypotheses and Deep Embeddings

1 code implementation27 Oct 2020 Siddhant Bansal, Praveen Krishnan, C. V. Jawahar

We propose a novel scheme for improving the word recognition accuracy using word image embeddings.

Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval

1 code implementation1 Jul 2020 Siddhant Bansal, Praveen Krishnan, C. V. Jawahar

Recognition and retrieval of textual content from the large document collections have been a powerful use case for the document image analysis community.

Optical Character Recognition (OCR) Retrieval

HWNet v2: An Efficient Word Image Representation for Handwritten Documents

no code implementations17 Feb 2018 Praveen Krishnan, C. V. Jawahar

We present a framework for learning an efficient holistic representation for handwritten word images.

Transfer Learning

Generating Synthetic Data for Text Recognition

1 code implementation15 Aug 2016 Praveen Krishnan, C. V. Jawahar

Generating synthetic images is an art which emulates the natural process of image generation in a closest possible manner.

Data Augmentation Image Generation

Matching Handwritten Document Images

no code implementations19 May 2016 Praveen Krishnan, C. V. Jawahar

We address the problem of predicting similarity between a pair of handwritten document images written by different individuals.

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