Seite - 159 - in Document Image Processing
Bild der Seite - 159 -
Text der Seite - 159 -
J. Imaging 2018,4, 39
Figure7.Samplewordimageswritten in12different Indianscripts.
OurdevelopeddatabasehasbeennamedasCMATERdb8.4.1,whereCMATERstands for ‘Centre
for Microprocessor Applications for Training Education and Research,’ a research laboratory at
Computer Science andEngineeringDepartment of JadavpurUniversity, India,where the current
database is prepared. Here, db symbolizes database, the numeric value 8 represents handwritten
multi-script Indic imagedatabaseandthevalue4 indicatesword-level. In thepresentwork, thefirst
versionofCMATERdb8.4hasbeenreleasedasCMATERdb8.4.1. Thedatabase ismadefreelyavailable
athttps://code.google.com/p/cmaterdb/.
4.2. PerformanceAnalysis
Theclassifiercombinationapproaches,describedabove,areappliedonadatasetof7200words
dividedinto12classeswithequalnumberof instances ineachof them. 12classes refer to the12 Indic
scripts thathavebeenstudiedbeforeandforwhich theMLPclassifier results canbeobtainedwith
highaccuracy. TheclassesnumberedfromA toLareDevanagari,Bangla,Oriya,Gujarati,Gurumukhi,
Tamil,Telugu,Kannada,Malayalam,Manipuri,UrduandRoman in thatparticularorder.
159
zurück zum
Buch Document Image Processing"
Document Image Processing
- Titel
- Document Image Processing
- Autoren
- Ergina Kavallieratou
- Laurence Likforman-Sulem
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2018
- Sprache
- deutsch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-106-1
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 216
- Schlagwörter
- document image processing, preprocessing, binarizationl, text-line segmentation, handwriting recognition, indic/arabic/asian script, OCR, Video OCR, word spotting, retrieval, document datasets, performance evaluation, document annotation tools
- Kategorie
- Informatik