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Italy Fines an Albanian-Muslim 30,000 Euros for refusing to Remove Face-Veil

A judge in the province of Pordenone on Friday converted a four-month prison sentence handed to the woman into a 30,000 fine plus 600 euros cost

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Veiled Women. (representational Image), Image Source- Wikimedia
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Rome, Nov 13, 2016: An Albanian-Muslim has been fined 30,000 euros after she refused to take off her niqab in a public building in San Vito al Tagliamento in Italy, as required by the law.

A judge in the province of Pordenone on Friday converted a four-month prison sentence handed to the woman into a 30,000 fine plus 600 euros cost.

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The woman entered a meeting last month at San Vito al Tagliamento town hall and repeatedly ignored a request by its centre-left mayor to remove her niqab, which leaves only the eyes visible.

Police were called and removed the 40-year-old woman from the council assembly.

She has lived in San Vito al Tagliamento since 2000 and recently became an Italian citizen. (IANS)

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Paytm is Testing ‘Face Login’ Feature, To Increase Security

The company has tested this feature extensively with over 10,000 distinct faces and witnessed nearly 100 per cent accuracy.

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Security, Paytm
Paytm testing 'Face Login' feature.

To further secure its platform, digital payments company Paytm on Monday said it is testing a new “Face Login” security feature on its Android beta app.

According to One97 Communications, that owns the brand Paytm, the new feature will enable users to log in to their app by simply looking at their phone.

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Paytm, Wikimedia

This will be an important security update for Paytm users that is designed to prevent phishing attacks by providing an additional security layer of biometric security, the company said in a statement.

“Our team is currently working on enhancing our proprietary algorithms to make it more intuitive for users. This will make accessing Paytm account even simpler and faster, prevent phishing attacks and offer instant access on the go,” said Deepak Abbot, Senior Vice President-Paytm.

Also Read: Paytm Acquires Smart Savings Start Up Balance Tech

The company has tested this feature extensively with over 10,000 distinct faces and witnessed nearly 100 per cent accuracy. To achieve this, the app maps over 200 distinct parameters on the human face for high accuracy. (IANS)

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