Advances In Chinese Document And Text Processing (series On Language Processing, Pattern Recognition, And Intelligent Systems)
by Cheng-Lin Liu /
2017 / English / PDF
16.9 MB Download
The book is a collection of invited chapters by experts in Chinese
document and text processing, and is part of a series on Language
Processing, Pattern Recognition, and Intelligent Systems. The
chapters introduce the latest advances and state-of-the-art methods
for Chinese document image analysis and recognition, font design,
text analysis and speaker recognition. Handwritten Chinese
character recognition and text line recognition are at the core of
document image analysis (DIA), and therefore, are addressed in four
chapters for different scripts (online characters, offline
characters, ancient characters, and text lines). Two chapters on
character recognition pay much attention to deep convolutional
neural networks (CNNs), which are widely used and performing
superiorly in various pattern recognition problems. A chapter is
contributed to describe a large handwriting database consisting
both online and offline characters and text pages. Postal mail
reading and writer identification, addressed in two chapters, are
important applications of DIA. The collection can serve as
reference for students and engineers in Chinese document and text
processing and their applications.
The book is a collection of invited chapters by experts in Chinese
document and text processing, and is part of a series on Language
Processing, Pattern Recognition, and Intelligent Systems. The
chapters introduce the latest advances and state-of-the-art methods
for Chinese document image analysis and recognition, font design,
text analysis and speaker recognition. Handwritten Chinese
character recognition and text line recognition are at the core of
document image analysis (DIA), and therefore, are addressed in four
chapters for different scripts (online characters, offline
characters, ancient characters, and text lines). Two chapters on
character recognition pay much attention to deep convolutional
neural networks (CNNs), which are widely used and performing
superiorly in various pattern recognition problems. A chapter is
contributed to describe a large handwriting database consisting
both online and offline characters and text pages. Postal mail
reading and writer identification, addressed in two chapters, are
important applications of DIA. The collection can serve as
reference for students and engineers in Chinese document and text
processing and their applications.
Readership: Students and researchers in Chinese document and text
processing.
Readership: Students and researchers in Chinese document and text
processing.