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ICDAR
2005
IEEE

Improved Text-Detection Methods for a Camera-based Text Reading System for Blind Persons

9 years 5 months ago
Improved Text-Detection Methods for a Camera-based Text Reading System for Blind Persons
Automatic text recognition from natural images receives a growing attention because of potential applications in image retrieval, robotics and intelligent transport system. Camera-based document analysis becomes a real possibility with the increasing resolution and availability of digital cameras. Our research objective is a system that reads the text encountered in natural scenes with the aim to provide assistance to visually impaired persons. In the case of a blind person, finding the text region is the first important problem that must be addressed, because it cannot be assumed that the acquired image contains only characters. In a previous paper [1], we propose four textdetection methods based on connected components. Finding small characters needed significant improvement. This paper describes a new textdetection method geared for small text characters. This method uses Fisher's Discriminant Rate (FDR) to decide whether an image area should be binarized using local or global...
Nobuo Ezaki, Kimiyasu Kiyota, Bui Truong Minh, Mar
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Nobuo Ezaki, Kimiyasu Kiyota, Bui Truong Minh, Marius Bulacu, Lambert Schomaker
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