3 citations · 5 across the 4 of their papers we have counts for
6 papers · 1 filter
DISGO: Automatic End-to-End Evaluation for Scene Text OCR
Mei-Yuh Hwang, Yangyang Shi, Ankit Ramchandani +6
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 backgr…
TextStyleBrush: Transfer of Text Aesthetics from a Single Example
Praveen Krishnan, Rama Kovvuri, Guan Pang +2
We present a novel approach for disentangling the content of a text image from all aspects of its appearance. The appearance representation we derive can then be applied to new con…
A Multiplexed Network for End-to-End, Multilingual OCR
Jing Huang, Guan Pang, Rama Kovvuri +5
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. However, many existing methods…
Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
Siddhant Bansal, Praveen Krishnan, C. V. Jawahar
We propose a novel scheme for improving the word recognition accuracy using word image embeddings. We use a trained text recognizer, which can predict multiple text hypothesis for…
HWNet v2: An Efficient Word Image Representation for Handwritten Documents
Praveen Krishnan, C. V. Jawahar
We present a framework for learning an efficient holistic representation for handwritten word images. The proposed method uses a deep convolutional neural network with traditional…
Matching Handwritten Document Images
Praveen Krishnan, C. V. Jawahar
We address the problem of predicting similarity between a pair of handwritten document images written by different individuals. This has applications related to matching and mining…