![Optical character recognition systems for different languages with soft computing [electronic resource]](https://image.aladin.co.kr/product/9650/10/cover/3319502514_2.jpg)
Optical character recognition systems for different languages with soft computing [electronic resource]
| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046003065 | |
| 005 | 20191030100033 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 191024s2017 sz a ob 001 0 eng d | |
| 020 | ▼a 9783319502519 | |
| 020 | ▼a 9783319502526 (e-book) | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a Q342 |
| 082 | 0 4 | ▼a 006.424 ▼2 23 |
| 084 | ▼a 006.424 ▼2 DDCK | |
| 090 | ▼a 006.424 | |
| 245 | 0 0 | ▼a Optical character recognition systems for different languages with soft computing ▼h [electronic resource] / ▼c Arindam Chaudhuri ... [et al.]. |
| 260 | ▼a Cham : ▼b Springer, ▼c c2017. | |
| 300 | ▼a 1 online resource (xix, 248 p.) : ▼b ill. | |
| 490 | 1 | ▼a Studies in Fuzziness and Soft Computing, ▼x 1434-9922, ▼x 1860-0808 (electronic) ; ▼v 352 |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 520 | ▼a 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. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Optical character recognition. |
| 650 | 0 | ▼a Soft computing. |
| 650 | 0 | ▼a Artificial intelligence. |
| 650 | 0 | ▼a Pattern perception. |
| 650 | 0 | ▼a Computational linguistics. |
| 650 | 0 | ▼a Computational intelligence. |
| 700 | 1 | ▼a Chaudhuri, Arindam. |
| 830 | 0 | ▼a Studies in Fuzziness and Soft Computing; ▼v 352. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-319-50252-6 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 006.424 | 등록번호 E14017961 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
New feature
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.정보제공 :
목차
1 Introduction.-2 Optical Character Recognition Systems.-3 Soft Computing Techniques for Optical Character Recognition Systems.-4 Optical Character Recognition Systems for English language.-5 Optical Character Recognition Systems for French language.-6 Optical Character Recognition Systems for German language.-7 Optical Character Recognition Systems for Latin language.-8 Optical Character Recognition Systems for Hindi language.-9 Optical Character Recognition Systems for Gujrati language.-10 Summary and Future Research.-Index.
정보제공 :