Tag HDFC

Extrieve released an updated Aadhaar Masking SDK

Aadhaar Masking

Bengalore (Karnataka) [India],January 1: Aadhaar masking refers to the physical or digital redaction of the first eight digits of an Aadhaar number. Aadhaar Masking masks the first eight digits of the Aadhaar number, leaving only the last four visible. Extrieve offers an API/Tool that accepts image files as input and generates masked output files. It may be incorporated as a component of the document capture process or as a backend process.


Extrieve has published a revised SDK for Aadhaar masking, which improves the accuracy of images of lower quality. Improved support for noisy images, improved skewed image handling, and a new method to return only the Mask area are among the most important modifications. This new SDK is deployable on-premise and works with minimal infrastructure.

Aadhaar Masking Image

Benefits

This SDK can be used from either the source PC or an internal server. It can also be used in a cloud-based system. Masking can be done in source applications using the new method, which returns only the coordinates of the areas to be masked. This reduces the amount of time it takes to transport data and reduces bandwidth usage

About Extrieve Aadhaar Masking SDK

Aadhaar Masking refers to redacting the first 8 digits of the 12-digit number and keeping visible the last 4 digits. All other demographic details remain visible. This activity is a tedious task for the operations team without any efficient aids. Extrieve’s Aadhaar Redaction Module provides an easy solution to this challenge, by taking the image file as input and providing the masked file as output.
Extrieve’s Aadhaar Redaction API uses Splicer image segmentation and OCR


For more details refer – Aadhaar Masking – Extrieve Technologies

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Extrieve WorkflowWaves API Connector Daemon

Bengalore (Karnataka) [India], October 13: A new API Connector Daemon framework has been released to handle high volume API level integration between multiple services. This framework is designed in C and can handle multiple thread pools; each can be defined for a specific API. The diagram below illustrates a high-level overview of the daemon
framework.

The Daemon agent’s, reader thread will read workflow cases from the queue and, based on the business logic, will add them to a specific thread pool. Threads that are configured for the pool will pick up the case and create and send a request to the associated external API. There is also support for a throttling
feature to control the number of parallel requests to each API. Business logic is implemented in JavaScript, which makes this framework easy to implement and change.

Benefits

This framework helps to implement complex API integration requirements faster as the daemon framework is natively integrated with the workflow interface and changes are required at the script level. This helps with faster project execution as well as change management. The Daemon framework is optimized for lower infra, which can reduce the overall TCO requirement of projects.

About WorkflowWaves:

WorkflowWaves is an enterprise-grade workflow management engine with many unique features. It simplifies workflow modeling with a unique approach based on WorkItems, Agents, Queues, and Outcomes. WorkflowWaves also has inbuilt features for the distribution of work to internal or external teams. Imaging or document processing features, such as Append to File, Page wise retrieval, and so
on, help to reduce network utilization, and improve overall application performance.

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ImageWizHelper OCR B&W conversion feature upgrade.

Bengalore (Karnataka) [India], July 26: Extrieve has announced an updated release of the ImageWizHelper SDK which simplifies the imaging operations for developers. The new black and white conversion feature help to remove the shadows from images and results in more accurate OCR data extraction.
Tags/keywords: Shadow removal, OCR Capture, Image preprocessing.

Feature details

There are several threshold algorithms that can be used to convert grayscale images to black and white; which is the image depth used for OCR. Global threshold, Niblack threshold, Otsu threshold, and Sauvola threshold are some of the different standard algorithms available. Standard imaging libraries support most of these algorithms. Based on the type of input images and the context of the usage, the developer has to choose the right algorithm.

For some images with very dark shadows or light exposures, additional preprocessing like contrast increase and sharpening may be required to improve the edge detection.

With an increase in the use of mobile devices to capture images, these challenges are encountered very often in applications.
The OCR Black & White conversion feature in the ImageWizHelper SDK performs the necessary preprocessing to improve the text quality of the image.

This feature has been tested and optimized with images captured from a wide
variety of mobile captured devices. This can result in up to a 20% improvement
in the OCR recognition rate.

Sample Image with shadows (redaction done to protect data confidentiality)

After black and white conversion using Otsu algorithm

After using ImageWizHelper OCR BW conversion.

ImageWizHelper

ImageWizHelper provides a simple API to compress the images from any type of source and standardize them to specific layout sizes. It compresses images to a smaller size while maintaining the readability of the documents. Multiple images can be combined and converted into a single PDF or Tiff file. For uncompressed files, SDK can reduce the size up to 90% and for compressed it can reduce the size up to
50%. QuickCapture is a similar product for mobile capture and compression use cases.

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Celebrating 15 Years of Excellence

Mumbai (Maharashtra) [India], July 13: The 15th of June each year is a special day in our calendar. It was on that day in 2007, that the first production deployment of the extrieve WorkflowWaves platform was done at HDFC Bank.
Starting with a small implementation for Retail Liabilities, the WorkflowWaves platform, implemented under the internal name of IDEA, is a critical technology platform for several applications in the areas of Retail Liabilities, Depository, and Retail Assets of HDFC Bank.


In the last 15 years, HDFC Bank has grown at a pace unrivaled by any company in any industry in India. There are many reasons for this achievement, but technology and business process innovations are
important factors. As an important technology partner during this period, we have had to ensure the scalability, reliability, adaptability, and flexibility of the applications.
This partnership has resulted in many innovations. Of these, a platform for distribution of work to external BPOs and image-based underwriting and disbursal would rank among some important innovations in Indian banking.


It is a privilege to be a technology partner with one of the world’s leading banks and a great source of learning that finds its way into all the products and solutions that we offer.

About HDFC :

India’s largest private sector bank by assets and the world’s 10th largest bank by market capitalization as of April 2021. HDFC Bank has a banking network of 6,342 branches and 18,130 ATMs in 3,188 cities and towns.

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