|
|
|
|
LEADER |
03104nam a22005055i 4500 |
001 |
978-981-13-2339-3 |
003 |
DE-He213 |
005 |
20210620061519.0 |
007 |
cr nn 008mamaa |
008 |
180918s2018 si | s |||| 0|eng d |
020 |
|
|
|a 9789811323393
|9 978-981-13-2339-3
|
024 |
7 |
|
|a 10.1007/978-981-13-2339-3
|2 doi
|
050 |
|
4 |
|a Q337.5
|
050 |
|
4 |
|a TK7882.P3
|
072 |
|
7 |
|a UYQP
|2 bicssc
|
072 |
|
7 |
|a COM016000
|2 bisacsh
|
072 |
|
7 |
|a UYQP
|2 thema
|
082 |
0 |
4 |
|a 006.4
|2 23
|
100 |
1 |
|
|a Santosh, K.C.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
0 |
|a Document Image Analysis
|h [electronic resource] :
|b Current Trends and Challenges in Graphics Recognition /
|c by K.C. Santosh.
|
250 |
|
|
|a 1st ed. 2018.
|
264 |
|
1 |
|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2018.
|
300 |
|
|
|a XX, 174 p. 70 illus., 46 illus. in color.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
505 |
0 |
|
|a Chapter 1. Document Image Processing: Graphics Recognition -- Chapter 2. Graphical Symbol Recognition Systems, Applications and Validation -- Chapter 3. Statistical Approaches -- Chapter 4. Structural and Syntactic Approaches -- Chapter 5. Hybrid Approaches -- Chapter 6. Challenges.
|
520 |
|
|
|a The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.
|
650 |
|
0 |
|a Pattern recognition.
|
650 |
|
0 |
|a Optical data processing.
|
650 |
|
0 |
|a Computer graphics.
|
650 |
1 |
4 |
|a Pattern Recognition.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
|
650 |
2 |
4 |
|a Image Processing and Computer Vision.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021
|
650 |
2 |
4 |
|a Computer Graphics.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I22013
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9789811323386
|
776 |
0 |
8 |
|i Printed edition:
|z 9789811323409
|
776 |
0 |
8 |
|i Printed edition:
|z 9789811347696
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-13-2339-3
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-SXCS
|
950 |
|
|
|a Computer Science (SpringerNature-11645)
|
950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|