5 citations · 16 across the 4 of their papers we have counts for
5 papers · 1 filter
Automated Transcription for Pre-Modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Learning
Anh Duc Le
Recognizing the full-page of Japanese historical documents is a challenging problem due to the complex layout/background and difficulty of writing styles, such as cursive and conne…
Deep Learning Approach for Receipt Recognition
Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen
Inspired by the recent successes of deep learning on Computer Vision and Natural Language Processing, we present a deep learning approach for recognizing scanned receipts. The reco…
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting
Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa
Inspired by recent successes in neural machine translation and image caption generation, we present an attention based encoder decoder model (AED) to recognize Vietnamese Handwritt…
A human-inspired recognition system for premodern Japanese historical documents
Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto
Recognition of historical documents is a challenging problem due to the noised, damaged characters and background. However, in Japanese historical documents, not only contains the…
Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions
Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa
Recognition of Handwritten Mathematical Expressions (HMEs) is a challenging problem because of the ambiguity and complexity of two-dimensional handwriting. Moreover, the lack of la…