期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020; 23 (1)
At present, text orientation is not diverse enough in the existing scene text datasets. Specifically, curve-orientated text is largely out-numbered by......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020; 23 (3)
Despite some interesting results from different research groups, a public database for Uyghur online handwriting recognition and a baseline study are ......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (3)
Document localization is a promising step for document-based optical character recognition. This task gains difficulty when documents are located in c......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (3)
The anchor mechanism of Faster R-CNN and SSD framework is considered not effective enough to scene text detection, which can be attributed to its Inte......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (3)
The long short-term memory (LSTM) network with gating mechanism has been widely used in sequence modeling tasks including handwriting and speech recog......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (3)
As one of the fundamental problems in document analysis, scene character recognition has attracted considerable interests in recent years. But the pro......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (2)
Chinese calligraphy is a valuable cultural heritage belonging to the world. It is liked by many people, and our mission is to endeavor to pursue calli......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (2)
Scene text detection and recognition has become a very active research topic in recent several years. It can find many applications in reality ranging......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019; 22 (2)
As the number of textbooks soars, people may be stuck into thousands of books when learning knowledge. In order to provide a concise yet comprehensive......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2018; 21 (4)
This paper proposes an effective segmentation-free approach using a hybrid neural network hidden Markov model (NN-HMM) for offline handwritten Chinese......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2018; 21 (4)
Deep convolutional neural networks-based methods have brought great breakthrough in image classification, which provides an end-to-end solution for ha......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2018; 21 (1-2)
Because of the different types of document degradation such as uneven illumination, image contrast variation, blur caused by humidity, and bleed-throu......
期刊： INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2017; 20 (1)
This paper proposes a novel framework of writer adaptation based on deeply learned features for online handwritten Chinese character recognition. Our ......
