Amazon Technologies, Inc.

Quan Wang

Yue Liu

Shiv Naga Prasad Vitaladevuni

David Paul Ramos

Shuang Wu

Thibaud Senechal

Qingfeng Yu

Daniel Makoto Willenson

A multi-orientation text detection method and associated system is disclosed that utilizes orientation-variant glyph features to determine a text line in an image regardless of an orientation of the text line. Glyph features are determined for each glyph in an image with respect to a neighboring glyph. The glyph features are provided to a learned classifier that outputs a glyph pair score for each neighboring glyph pair. Each glyph pair score indicates a likelihood that the corresponding pair of neighboring glyphs form part of a same text line. The glyph pair scores are used to identify candidate text lines, which are then ranked to select a final set of text lines in the image.

Text detection using features associated with neighboring glyph pairs

Growing community of inventors

Quincy, MA, United States of America

Quan Wang