کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6900893 1446491 2018 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Context-Dependent Robust Text Recognition using Large-scale Restricted Bayesian Network
ترجمه فارسی عنوان
تشخیص متنی با متن متناسب با استفاده از شبکه محدود بیزی محدود در مقیاس بزرگ
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
We have been proposing a computational model of the cerebral cortex called BESOM, which models the cerebral cortex as restricted Bayesian networks based on recent findings in the neuroscience area. Since BESOM is based on Bayesian network, it inherently allows bi-directional information flow, meaning that it can naturally merge information extracted from concrete data with highly-abstract prior knowledge. As an example of such kind of tasks, we report robust text recognition task with context information. We show that word spelling knowledge and word n-gram could be represented as a part of the network and they contribute the text recognition accuracy with noisy text images. We also show that the computational cost is approximately linear with the number of characters and words.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 123, 2018, Pages 314-320
نویسندگان
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