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Sci-Dev

ID optical character recognition on a mobile phone: simple to complex

ID optical character recognition on a mobile phone: simple to complex

The idea of using a mobile device for document scanning and recognition has been worked on since the appearance of the first camera phone. But for quite a long time, the poor quality of a camera on mobile devices and the low performance of mobile processors didn’t allow developing optical character recognition systems precise enough for practical use. Today smartphones and tablets are considered to be one of the best data entry options – both in terms of the camera quality and the processor.

Image binarization algorithm in computed tomography

Image binarization algorithm in computed tomography

When analyzing porous materials, the binarization process becomes essential because in this case a data model doesn’t involve an intermediate state between a hollow pore and an impenetrable matrix. You will learn about an interesting approach to do so using neural networks without ground truth and will get a glimpse into the world of computed tomography and its related fields.

Color in computer vision: a mathematical concept

Color in computer vision: a mathematical concept

It’s been over 5 years since we started publishing popular articles about computer vision. Most of them deal with various problems of document recognition. Today we are presenting fundamental, mathematically consistent, and at the same time couched in simple language material on color to a wide audience.

The evolution of bank cards: from metal to metal

The evolution of bank cards: from metal to metal

New technologies, as a general rule, build upon not just current developments, but on the extensive analysis of how related technologies have been evolving over time. Thus, if we look at a bank card as a complex piece of technology, which it is, it is interesting to...

Algorithms for text field recognition results post-processing

Algorithms for text field recognition results post-processing

Today we’d like to look into the problem of post-processing the text field recognition results based on a priori knowledge about the text field. We’ll focus on two methods of recognition result post-processing that can be used for a wide variety of documents and a number of different text fields.

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