Offline handwritten Chinese recognition is an important research area of pattern recognition,
including offline handwritten Chinese character recognition (offline HCCR) and offline …

Deciphering oracle bone script is of great significance to the study of ancient Chinese
culture as well as archaeology. Although recent studies on oracle character recognition …

Recent researches introduced fast, compact and efficient convolutional neural networks
(CNNs) for offline handwritten Chinese character recognition (HCCR). However, many of …

The flourishing blossom of deep learning has witnessed the rapid development of Chinese
character recognition. However, it remains a great challenge that the characters for testing …

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 …

Nowdays, deep networks have played a dominant role in the filed of handwritten Chinese
character recognition (HCCR), and their recognition performance have reported to surpass …

Handwritten character recognition is one of the most challenging problem in the area of
pattern recognition. In addition to different writing style, in Amharic character there is visual …

In this paper, we designed an efficient network structure by combining multiple scale
convolution shuffle (MSCS) module and attention features spatial aggregation (ASA) …

In this paper, the ability of Bayesian and convolutional neural networks (CNNs), as two
different machine learning methods, to recognize Arabic handwritten words is analyzed. Our …

Deep convolutional neural networks have made great progress in recent handwritten
character recognition (HCR) by learning discriminative features from large amounts of …