- 年份:2019 年
- 編號:127
- Topic分類:1
- Topic分數:0.1579897495
- Publish:2019 International Conference on Document Analysis and Recognition (ICDAR)
- 作者:Christian Clausner; Apostolos Antonacopoulos; Tom Derrick; Stefan Pletschacher
Keywords:performance evaluation, page analysis, optical character recognition, OCR, layout analysis, recognition, datasets
Abstract:ICDAR2019 Competition on Recognition of Early Indian Printed DocumentsREID2020 This paper presents an objective comparative evaluation of page analysis and recognition methods for historical documents with text mainly in Bengali language and scriptIt describes the competition rulesdatasetand evaluation methodologyResults are Library Automation and Retrieval and IndexingDigitizing historical documents in the library using OCR technology is a part of library automationas it allows physical documents to be converted into searchable and indexable digital formatsmaking retrieval and indexing easier and more efficientThis study focuses on using pattern recognition technologyspecifically the performance of Optical Character RecognitionOCRto evaluate and identify historical documents primarily in Bengali script and textThis pattern recognition technology is particularly targeted at textthus having some relation to NLPbut its main focus remains on character and graphic recognitionwhich is the core of pattern recognition
© All Rights LibAiRsystem.

