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Showing posts with the label Bpo Process automation

Here is How Infrrd OCR Tool Is Making A Difference

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When introduced,  Optical Character Recognition software  was considered to be a boon for businesses. Instead of manually transferring data from records, one could now simply extract data from them. Later they can enter it automatically into in-house systems. We can save hours of manual labor but there remains a caveat. Errors introduced during the extraction process remain in your system. Before we recognize and fix the errors it can stall the work for many hours. OCR scanners are prone to fail when one tries to extract data from old documents. Either the fading of the print or the lack of contrast can lead the software to incorrect recognition of patterns. Additionally, most online  OCR software  is designed to work with English as a language. But not everybody uses English as their first language. If you travel to Europe, the script remains the same but the language differs. A smart engine OCR should be able to pick up this difference in language and adapt its  data extraction 

Automated Signature Validation Using Deep Learning

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Signatures are seen everywhere - in Art, Cryptography, Music, Bank Cheques, etc. It is a mark of a person for a proof of identity and intent. It is distinctive and unique to that person. It’s also a way to confirm the person's identity. Although it is unique and private to that person, it can be forged. Banks use the signature to verify the cheques, Cryptocurrencies use the digital signature to verify a transaction, Art museums use the signature to identify the art’s owner. Hence, identifying the authenticity of the signature is of utmost importance. This is where the  automated signature validation  becomes important. In the past, people used to manually do signature validation. Wherein, the bank’s employee would authenticate the signature on the cheque, Art museum’s employee would authenticate the signature on the art and so on. This requires a good eye to notice any subtle differences and is prone to error. Also, it is quite a time-consuming process. With the advent of t