Results 41 to 50 of about 3,209,064 (352)
International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2019 Optical character recognition (OCR) is a technology that allows you to convert different types of documents or images into searchable, editable, and analyzable data.
Bhavesh Kataria, H. Jethva
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Self-supervised adaptation for on-line script text recognition
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 We have recently developed in our lab a text recognizer for on-line texts written on a touch-terminal. We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised ...
Loic Oudot +2 more
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A Survey of Handwritten Character Recognition with MNIST and EMNIST
Applied Sciences, 2019 This paper summarizes the top state-of-the-art contributions reported on the MNIST dataset for handwritten digit recognition. This dataset has been extensively used to validate novel techniques in computer vision, and in recent years, many authors have ...
A. Baldominos, Y. Sáez, P. Isasi
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DenseRAN for Offline Handwritten Chinese Character Recognition [PDF]
International Conference on Frontiers in Handwriting Recognition, 2018 Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist of basic radicals, however, previous research mostly treated each Chinese
Wenchao Wang +4 more
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KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning [PDF]
IEEE International Conference on Document Analysis and Recognition, 2019 Kuzushiji, a cursive writing style, had been used in Japan for over a thousand years starting from the 8th century. Over 3 millions books on a diverse array of topics, such as literature, science, mathematics and even cooking are preserved.
Tarin Clanuwat, Alex Lamb, A. Kitamoto
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Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
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Bangla Handwritten Character Recognition using Convolutional Neural Network with Data Augmentation
International Conference on Informatics, Electronics and Vision, 2019 This paper proposes a process of Handwritten Character Recognition to recognize and convert images of individual Bangla handwritten characters into electronically editable format, which will create opportunities for further research and can also have ...
Rumman Rashid Chowdhury +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
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Recognition of Handwritten Chinese Characters Based on Concept Learning
IEEE Access, 2019 Many deep-learning character recognition methods have been developed over the past few years. Chinese characters are widely used in many countries; however, the deep-learning-based Chinese character recognition methods are faced with various problems ...
Liang Xu, Yuxi Wang, Xiuxi Li, Ming Pan
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