Keyboard recognition from scale-invariant feature transform

Ming-Te Chao; Yung‐Sheng Chen

doi:10.1109/icce-china.2017.7991067

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Keyboard recognition from scale-invariant feature transform

Ming-Te Chao Yung‐Sheng Chen

Year: 2017 Pages: 205-206

DOI: 10.1109/icce-china.2017.7991067

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Abstract

Based on the scale-invariant feature transform, this paper presents an approach to keyboard recognition. Not only the skewed keyboard can be corrected, but also the keys in the keyboard can be located. Experimental results confirm the feasibility of the proposed method.

Keywords:

Computer science Invariant (physics) Pattern recognition (psychology) Artificial intelligence Scale invariance Feature (linguistics) Feature extraction Speech recognition Scale-invariant feature transform Scale (ratio) Computer vision Mathematics Statistics

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Image and Video Stabilization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Keyboard recognition from scale-invariant feature transform

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