Results 21 to 30 of about 2,167,785 (318)
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones [PDF]
, 2017 Syllabification does not seem to improve word-level RNN language modeling quality when compared to character-based segmentation. However, our best syllable-aware language model, achieving performance comparable to the competitive character-aware model ...
Assylbekov, Zhenisbek +3 more
core +4 more sources
Segmenting documents by stylistic character [PDF]
Natural Language Engineering, 2005 As part of a larger project to develop an aid for writers that would help to eliminate stylistic inconsistencies within a document, we experimented with neural networks to find the points in a text at which its stylistic character changes. Our best results, well above baseline, were achieved with time-delay networks that used features related to the ...
NEIL GRAHAM +2 more
openaire +1 more source
Ancient Chinese Character Image Segmentation Based on Interval-Valued Hesitant Fuzzy Set
IEEE Access, 2020 To address the low segmentation accuracy caused by the rich glyph styles of ancient Chinese characters and the complex layout of ancient Chinese books, which affects the retrieval and recognition results, an algorithm for the layout image analysis of ...
Xuedong Tian, Tengying Sun, Yanmei Qi
doaj +1 more source
Improved Automatic License Plate Recognition in Jordan Based on Ceiling Analysis
Applied Sciences, 2021 The main challenge of automatic license plate recognition (ALPR) systems is that the overall performance is highly dependent upon the results of each component in the system’s pipeline.
Musa Al-Yaman +5 more
doaj +1 more source
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
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source