Work

Attribute CNNs for word spotting in handwritten documents

Year: 2018

Type: article

Source: International Journal on Document Analysis and Recognition (IJDAR)

DOI: 10.1007/s10032-018-0295-0

Authors: Sebastian Sudholt, Gernot A. Fink

Institution: TU Dortmund University

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2776708490

FWCI: 3.955

Cites: 62

Cited by: 60

Related to: 20