Results 21 to 30 of about 149,894 (279)
ADVANCED STROKE LABELING TECHNIQUE BASED ON DIRECTIONS FEATURES FOR ARABIC CHARACTER SEGMENTATION
Asia-Pacific Journal of Information Technology and Multimedia, 2019 Offline Character segmentation of text images is an important step in many document image analysis and recognition (DIAR) applications. However, the character segmentation of both writing styles (printed and handwritten) remains an open problem. Moreover,
Tarik Abdel-Kareem Abu-Ain +3 more
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Comparing Neural- and N-Gram-Based Language Models for Word Segmentation [PDF]
, 2018 Word segmentation is the task of inserting or deleting word boundary characters in order to separate character sequences that correspond to words in some language.
Doval, Yerai, Gómez-Rodríguez, Carlos
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Proceedings, 2019 Character recognizers have generally focused on printed text on paper with an emphasis on generality rather than speed. This makes the proposed algorithms not applicable in the context of the very high-speed industrial validation of expiration codes ...
José Carlos Rodríguez-Rodríguez +3 more
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Segmentation of characters on car license plates [PDF]
, 2008 License plate recognition usually contains three steps, namely license plate detection/localization, character segmentation and character recognition. When reading characters on a license plate one by one after license plate detection step, it is crucial
He, X +5 more
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Journal of Intelligent Systems, 2011 In this paper, a novel approach for word extraction and character segmentation from the handwritten Bangla document images is reported. At first, a modified Run Length Smoothing Algorithm (RLSA), called Spiral Run Length Smearing Algorithm (SRLSA), is ...
Sarkar Ram +5 more
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License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas
Sensors, 2012 This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection.
Qingning Niu +5 more
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A Novel Semantic Segmentation Model for Chinese Characters
IEEE Access, 2020 Character segmentation plays an important role in optical character recognition (OCR). Due to the limitations of feature representation, traditional image analyzing based methods cannot well segment characters with connected or broken strokes, especially
Zhenyu Gao +4 more
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Colour Text Segmentation in Web Images Based on Human Perception [PDF]
, 2007 There is a significant need to extract and analyse the text in images on Web documents, for effective indexing, semantic analysis and even presentation by non-visual means (e.g., audio).
A. Antonacopoulos +12 more
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Character-based ThaiWord Segmentation with Multiple Attentions
Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, 2021 Character-based word-segmentation models have been extensively applied to agglutinative languages, including Thai, due to their high performance. These models estimate word boundaries from a character sequence. However, a character unit in sequences has no essential meaning, compared with word, subword, and character cluster units.
Thodsaporn Chay-intr +2 more
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Chinese Character Components Segmentation Method Based on Faster RCNN
IEEE Access, 2022 To solve the component segmentation problem caused by the sticking and overlapping of parts in incoherent handwritten calligraphy characters, we propose a Chinese character part segmentation method based on Faster RCNN. The method utilizes the advantages
Xiang Gao +3 more
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