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Optical Character Recognition Systems for Different Languages with Soft Computing
Arindam Chaudhuri
Krupa Mandaviya
Pratixa Badelia
Soumya K Ghosh
出版
Springer
, 2016-12-23
主題
Technology & Engineering / Engineering (General)
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Language Arts & Disciplines / Linguistics / General
Computers / Artificial Intelligence / General
Technology & Engineering / General
Computers / Optical Data Processing
Computers / Artificial Intelligence / Natural Language Processing
ISBN
3319502522
9783319502526
URL
http://books.google.com.hk/books?id=-ZXJDQAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.