Abstract: Various embodiments are generally directed to techniques for generating synthetic data with simulated handwriting, such as for training or evaluating a computer vision process, for instance. Some embodiments are particularly directed to creating simulated handwriting based on input text. For example, attributes of various glyphs included in typefaces stored in a vectorized graphics format may be randomized to produce randomized glyphs. The randomized glyphs may then be used to replace glyphs in an input text to generate simulated handwriting for the input text. In some embodiments, simulated handwriting may be overlaid with a background image to produce a synthetic handwriting image. In some such embodiments, noise may be introduced into the synthetic handwriting image to generate synthetic data comprising the simulated handwriting. In one embodiment, the synthetic data may simulate a handwritten check that is used to train or evaluate an optical character recognition process.

Abstract: Various embodiments are generally directed to techniques for generating synthetic data with simulated handwriting, such as for training or evaluating a computer vision process, for instance. Some embodiments are particularly directed to creating simulated handwriting based on input text. For example, attributes of various glyphs included in typefaces stored in a vectorized graphics format may be randomized to produce randomized glyphs. The randomized glyphs may then be used to replace glyphs in an input text to generate simulated handwriting for the input text. In some embodiments, simulated handwriting may be overlaid with a background image to produce a synthetic handwriting image. In some such embodiments, noise may be introduced into the synthetic handwriting image to generate synthetic data comprising the simulated handwriting. In one embodiment, the synthetic data may simulate a handwritten check that is used to train or evaluate an optical character recognition process.