Results 41 to 50 of about 2,167,785 (318)
Multiscale fully convolutional network‐based approach for multilingual character segmentation
IET Computer Vision, 2021 Character segmentation is a challenging task for optical character recognition systems. Traditional methods usually utilize rule‐based algorithms but most of them are not applicable in modern intelligent recognition applications that require high ...
Chao Yu, Jin Liu, Yunhui Li
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Optical character recognition without segmentation [PDF]
, 1979 A segmentation-free approach for off-line optical character recognition is presented. The proposed method performs the recognition by extracting the characters from the whole word, avoiding the segmentation process. A control point set which includes position and attribute vectors is selected for the features.
Mehmet Ali Özdil +2 more
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Neural Word Segmentation with Rich Pretraining
, 2017 Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external information, such ...
Dong, Fei, Yang, Jie, Zhang, Yue
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Segmentation of Devanagari Handwritten Characters
International Journal of Computer Applications, 2016 The world is fast moving towards digitalization. In the age of super-fast computational capabilities, everything has to be made digitalized so as to make the computer understand and thereby process the given information. Optical character recognition is a method by which the computer is made to learn, understand and interpret the languages used and ...
Neha Sahu, Ankita Srivastav
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Radical-Enhanced Chinese Character Embedding
, 2014 We present a method to leverage radical for learning Chinese character embedding. Radical is a semantic and phonetic component of Chinese character. It plays an important role as characters with the same radical usually have similar semantic meaning and ...
Ji, Zhenzhou +5 more
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Segmentation and Recognition for Historical Tibetan Document Images
IEEE Access, 2020 As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received extensive attention from historians, linguists and Buddhist scholars.
Longlong Ma +5 more
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Applied Sciences, 2023 Domain generation algorithms (DGAs) play an important role in network attacks and can be mainly divided into two types: dictionary-based and character-based.
Shaojie Chen +3 more
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ANN-based Innovative Segmentation Method for Handwritten text in Assamese [PDF]
, 2009 Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence.
Bhattacharyya, Kaustubh +1 more
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Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
, 2018 Characters have commonly been regarded as the minimal processing unit in Natural Language Processing (NLP). But many non-latin languages have hieroglyphic writing systems, involving a big alphabet with thousands or millions of characters.
Feng, Yi +6 more
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Reading Scene Text in Deep Convolutional Sequences [PDF]
, 2015 We develop a Deep-Text Recurrent Network (DTRN) that regards scene text reading as a sequence labelling problem. We leverage recent advances of deep convolutional neural networks to generate an ordered high-level sequence from a whole word image ...
He, Pan +4 more
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