Segmentation-free handwritten Chinese text recognition with LSTM-RNN
R Messina, J Louradour - 2015 13th International conference …, 2015 - ieeexplore.ieee.org
We present initial results on the use of Multi-Dimensional Long-Short Term Memory
Recurrent Neural Networks (MDLSTM-RNN) in recognizing lines of handwritten Chinese …
Recurrent Neural Networks (MDLSTM-RNN) in recognizing lines of handwritten Chinese …
Learning spatial-semantic context with fully convolutional recurrent network for online handwritten chinese text recognition
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it
involves a large-scale character set, ambiguous segmentation, and variable-length input …
involves a large-scale character set, ambiguous segmentation, and variable-length input …
Handwritten Chinese text recognition by integrating multiple contexts
This paper presents an effective approach for the offline recognition of unconstrained
handwritten Chinese texts. Under the general integrated segmentation-and-recognition …
handwritten Chinese texts. Under the general integrated segmentation-and-recognition …
Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields
XD Zhou, DH Wang, F Tian, CL Liu… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper proposes a method for handwritten Chinese/Japanese text (character string)
recognition based on semi-Markov conditional random fields (semi-CRFs). The high-order …
recognition based on semi-Markov conditional random fields (semi-CRFs). The high-order …
Retrieval-based language model adaptation for handwritten Chinese text recognition
In handwritten text recognition, compared to human, computers are far short of linguistic
context knowledge, especially domain-matched knowledge. In this paper, we present a …
context knowledge, especially domain-matched knowledge. In this paper, we present a …
Common sense knowledge for handwritten chinese text recognition
Compared to human intelligence, computers are far short of common sense knowledge
which people normally acquire during the formative years of their lives. This paper …
which people normally acquire during the formative years of their lives. This paper …
HDSR-Flor: a robust end-to-end system to solve the handwritten digit string recognition problem in real complex scenarios
AFDS Neto, BLD Bezerra, EB Lima, AH Toselli - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic handwriting recognition systems are of interest for academic research fields and
for commercial applications. Recent advances in deep learning techniques have shown …
for commercial applications. Recent advances in deep learning techniques have shown …
An approach for real-time recognition of online Chinese handwritten sentences
With the advances of handwriting capturing devices and computing power of mobile
computers, pen-based Chinese text input is moving from character-based input to sentence …
computers, pen-based Chinese text input is moving from character-based input to sentence …
Learning-based word spotting system for Arabic handwritten documents
M Khayyat, L Lam, CY Suen - Pattern Recognition, 2014 - Elsevier
The retrieval of information from scanned handwritten documents is becoming vital with the
rapid increase of digitized documents, and word spotting systems have been developed to …
rapid increase of digitized documents, and word spotting systems have been developed to …
ICFHR 2014 competition on handwritten digit string recognition in challenging datasets (HDSRC 2014)
This paper presents the results of the HDSRC 2014 competition on handwritten digit string
recognition in challenging datasets organized in conjunction with ICFHR 2014. The general …
recognition in challenging datasets organized in conjunction with ICFHR 2014. The general …