Goiter
发表于 2025-3-21 16:44:40
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前奏曲
发表于 2025-3-21 21:48:48
https://doi.org/10.1057/9780230599949ting styles. Keyword spotting of unconstrained offline handwritten documents is performed based on matching scheme of word images. This paper presents an efficient keyword spotting approach for handwritten Devanagari documents. Experiments are conducted on historical datasets consisting of manuscripts by Oriental Research Institute @ Mysuru.
bibliophile
发表于 2025-3-22 03:19:57
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FEAS
发表于 2025-3-22 05:41:12
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Acquired
发表于 2025-3-22 08:59:24
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enormous
发表于 2025-3-22 15:49:42
https://doi.org/10.1007/978-3-030-89348-4ometric moment-based features could be adapted to represent a stroke which possesses the needed invariance properties and the usage of neural networks to recognize the corresponding characters from the stroke combinations and the positional information of the strokes.
enormous
发表于 2025-3-22 19:41:35
https://doi.org/10.1007/978-3-030-51961-2om non-text part. Further correspondence between these separators would enable text line segmentation. The proposed algorithm works with an order of . (. × .)in worst case and requires less buffer space, since it is based on unsupervised learning. Benchmark ICDAR-13 dataset is used for experimentation and accuracy is reported.
NEXUS
发表于 2025-3-22 23:42:42
2367-3370 image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike. .978-981-13-2513-7978-981-13-2514-4Series ISSN 2367-3370 Series E-ISSN 2367-3389
MELD
发表于 2025-3-23 01:37:01
https://doi.org/10.1007/978-3-030-89348-4efined for the seven-segment font. The proposed method can handle images exhibiting uneven illumination, the presence of shadows, poor contrast, and blur, and yields a recognition accuracy of 97% on a dataset of 175 images of digital energy meters captured using a mobile camera.
Tdd526
发表于 2025-3-23 08:58:20
https://doi.org/10.1057/978-1-137-54000-3ets (Chinese Academy of sciences B and C) are used for the experimental procedures and satisfactory results are obtained. The effective comparative analysis with the current state-of-the-art algorithms has shown that the proposed approach is robust to changes in appearance and different walking speed conditions.