MallaNet residual branch merge convolutional neural network with homogeneous filter capsules for Devanagari character recognition. [PDF]
Malla SR.
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Vision based handwritten character recognition
ABSTRACT VISION BASED HANDWRITTEN CHARACTER RECOGNITION Özcan Öksüz M.S. in Computer Engineering Supervisor: Asst. Prof. Dr. Uğur Güdükbay September, 2003 Online automatic recognition of handwritten text has been an ongoing research problem for four decades.
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Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques. [PDF]
Chaitanyaswami H +6 more
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Multi-script handwritten character recognition
Handwritten character recognition plays an important role in transforming raw visual image data obtained from handwritten documents using for example scanners to a format which is understandable by a computer. It is an important application in the field of pattern recognition, machine learning and artificial intelligence.
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The dataset for extending EMNIST evaluation. [PDF]
Szymański J +4 more
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Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification. [PDF]
Al-Maamari MR +3 more
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LICS: Locating Inter-Character Spaces for Multilingual Scene Text Detection. [PDF]
Su PC +5 more
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FAIR-Net: A Fuzzy Autoencoder and Interpretable Rule-Based Network for Ancient Chinese Character Recognition. [PDF]
Ge Y, Zhang Y, Roh SB.
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Tabular context-aware optical character recognition and tabular data reconstruction for historical records. [PDF]
Singh LG, Middleton SE.
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Bridging classical and neural methods for improved segmentation in mathematical text based images. [PDF]
Sakshi +3 more
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