In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks.
Donatella FirmaniPaolo MerialdoElena NiedduSimone ScardapanePublished in: AI*CH@AI*IA (2017)
Keyphrases
- optical character recognition
- word spotting
- arabic documents
- character recognition
- ocr systems
- printed documents
- document analysis
- document images
- handwritten documents
- text lines
- character segmentation
- handwriting recognition
- deep learning
- scanned documents
- document processing
- handwritten text
- text recognition
- text line segmentation
- handwritten document images
- scanned images
- document image analysis
- historical documents
- historical manuscripts
- social networks
- xml documents
- document collections
- printed text
- information retrieval systems
- hand written
- web documents
- page layout
- keywords
- information retrieval
- unsupervised feature learning
- license plate
- digital libraries
- unsupervised learning
- n gram
- relevant documents
- handwritten characters
- text documents
- complex networks
- word recognition
- error correction