Results 31 to 40 of about 149,894 (279)
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 Industry 4.0 revolve the way of thinking in manufacturing factory business. Speed and accuracy become the main focus to survive and To growth. This study aims to build a blue print of an system that will increase both speed and accuracy in form input ...
Christian Wibisono, Setia Budi
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Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English [PDF]
, 2017 The necessity of using a fixed-size word vocabulary in order to control the model complexity in state-of-the-art neural machine translation (NMT) systems is an important bottleneck on performance, especially for morphologically rich languages ...
Ataman, Duygu +3 more
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Ain Shams Engineering Journal, 2014 This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition ...
Moayad Yousif Potrus +2 more
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Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images
IEEE Access, 2020 In this paper, we introduce an “on the device” text line recognition framework that is designed for mobile or embedded systems. We consider per-character segmentation as a language-independent problem and individual character recognition as
Yulia S. Chernyshova +2 more
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A Novel Method of Detecting Chinese Rendered Text on Tilted Screen of Mobile Devices
IEEE Access, 2020 Due to the development of the Internet, screen rendered text detection and recognition have wide applications such as screen capture translation, medical text reading, screen text assisted reading and so on.
Tianlun Zheng, Xiaofeng Wang, Xin Xu
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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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ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM
Diyala Journal of Engineering Sciences, 2012 On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline ...
Haithem Abd Al-RaheemTaha
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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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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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