| 书目名称 | Optical Character Recognition Systems for Different Languages with Soft Computing | | 编辑 | Arindam Chaudhuri,Krupa Mandaviya,Soumya K Ghosh | | 视频video | | | 概述 | Describes novel soft-computing methods developed by the authors.Highlights the advantages of soft computing models for optical character recognition (OCR) systems in comparison to traditional methods. | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 描述 | The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition. | | 出版日期 | Book 2017 | | 关键词 | OCR Technology; Recognition Accuracy; Digitizing Texts; Machine-encoded Texts; Soft Computing Models for | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-50252-6 | | isbn_softcover | 978-3-319-84357-5 | | isbn_ebook | 978-3-319-50252-6Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer International Publishing AG 2017 |
The information of publication is updating
|
|
发表于 2025-3-21 18:25:29
