A mobile application that checks the originality of the document.

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Venzel
Employer
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Job category:
Mobile applications
Expected budget:

2000.00 PLN

Preferable skills:
Published:
Valid until:

Job description

Hello,

I am looking for a person with knowledge of machine learning, who will undertake to write a mobile application that checks the originality of the document, which will implement three functionalities:

1. After hovering the phone camera over the banknote, the application recognizes the banknote denomination and displays the information that it is, for example, PLN 200.

We limit ourselves here only to Polish denominations of 10, 20, 50, 100, 200 and 500 zlotys.

Here, the application should be trained to recognize the denominations of banknotes on the basis of the created dataset.

The dataset should contain examples of the right and left banknote denominations.

2. On the basis of the fast Fourier FFT transform, the application can verify the originality of the banknote after taking a photo of the banknote.

Color photo -> preprocessing (area cut, resolution adjustment etc) -> black and white conversion -> FFT -> machine learning.

Such an area on the banknote may be the banknote laterite bar on the right or left side of the banknote.

3. Reading banknote numbering and saving it to another txt or excel file. (OCR)

Urgent.

The proposed price for the work is PLN 2,000.

Operating system:

Android

Required functions:

1. After hovering the phone camera over the banknote, the application recognizes the denomination of the banknote and displays the information that it is, for example, PLN 200. We limit ourselves here only to Polish denominations of 10, 20, 50, 100, 200 and 500 zlotys. Here, the application should be trained to recognize the denominations of banknotes on the basis of the created dataset. The dataset should contain examples of the right and left banknote denominations. 2. Based on the fast Fourier FFT transform, the application can verify the originality of the banknote after taking a photo of the banknote. Color photo -> preprocessing (area cut, resolution adjustment etc) -> black and white conversion -> FFT -> machine learning. Such an area on the banknote may be the banknote slator bar on the right or left side of the banknote. 3. Reading banknote numbering and saving it to another txt or excel file. (OCR)