Detecting Oriented Text in Natural Images by Linking Segments
Huazhong University of Science and Technology · Cornell University
Abstract
Most state-of-the-art text detection methods are specific to horizontal Latin text and are not fast enough for real-time applications. We introduce Segment Linking (SegLink), an oriented text detection method. The main idea is to decompose text into two locally detectable elements, namely segments and links. A segment is an oriented box covering a part of a word or text line, A link connects two adjacent segments, indicating that they belong to the same word or text line. Both elements are detected densely at multiple scales by an end-to-end trained, fully-convolutional neural network. Final detections are produced by combining segments connected by links. Compared with previous methods, SegLink improves along…
Citation impact
- FWCI
- 35.11
- Percentile
- 100%
- References
- 39
Authors
3Topics & keywords
- Margin (machine learning)
- Computer science
- Convolutional neural network
- Artificial intelligence
- Word (group theory)
- Benchmark (surveying)
- Line (geometry)
- Pattern recognition (psychology)
- Quality Education