We introduce a novel computer vision algorithm for local-sequential text scanning that enables reading single lines, blocks of text or skimming the text with complementary, multimodal feedback.
This system is implemented in a small finger-worn form factor, that enables a more manageable eyes-free operation with trivial setup.
Each state delivers timely audio cues to the users to inform them of the process.
All states and their underlying algorithms are detailed in the following sections.
Once achieving a stable view, the system looks to locate the fingertip as a cursor for finding characters, words and lines.
A preliminary study with blind people reveals numerous difficulties with existing state-of-the-art technologies including problems with alignment, focus, accuracy, mobility and efficiency.
In this paper, we present a finger-worn device, Finger Reader, that assists blind users with reading printed text on the go.
3), to accommodate for a continuous operation by a blind person.
The first two states (Detect Scene and Learn Finger) are used for calibration for the higher level text extraction and tracking work states (No Line, Line Found and End of Line).