Automated Recognition of Handwritten Digits in Indian Bank Cheques

Handwritten digit recognition and pattern analysis are one of the active research topics in digital image processing. Moreover, automatic handwritten digit recognition is of great technical interest and academic interest.

In today’s digital realm, banks cheques are widely used around the world for various financial transactions. A rough estimate says that almost 120+ billion cheques move around the world. In the Indian banking scenario, CTS cheque clearance system has come. Even though the check is cleared quickly, there is still manual intervention needed to validate the date and amount fields. There is a lot of manual effort in this area.

This case study, followed by a demo, will parade on how handwritten date and amount fields were extracted and validated. By adopting this automated way of recognising handwritten digits, banks can cut down the manual time and increase speed in their process. Although this is still in the proof of concept phase, this feat was achieved using computer vision and image processing techniques.

This case study will briefly cover:

  • Detection of bounding and taking the region of interest
  • Fragment and Identify technique
  • Checking the accuracy of bounding box using Intersection over Union technique

This case study/approach can be extended to other operative environments, where handwritten digits recognition is needed.

 
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Outline/Structure of the Case Study

Introduction

Problem Definition

Data Processing

Proposed Solution

How is it done?

What was used?

Preprocessing

Algorithms

Architecture

Code Concepts

Results

Challenges

Conclusion

Learning Outcome

The audience will be able to think on the lines of

  • Model training of the MNIST model
  • how to find the accuracy of the area of interest
  • Take away how this operating model can be extended to other fields of digit recognition
  • Segmentation and recognition processes

Target Audience

Anyone who is interested in automated recognition of handwritten digits

Prerequisites for Attendees

Basic Programming and machine learning understanding

schedule Submitted 2 weeks ago

Public Feedback

comment Suggest improvements to the Speaker
  • Dr. Vikas Agrawal
    By Dr. Vikas Agrawal  ~  2 weeks ago
    reply Reply

    Dear Sunil: Can you please consider adding a video sharing what you will discuss or video of a previous presentation? Also it will help to give some color to the amount of time spent during the talk on business problem definition, challenges, technical solution, future work, hands on demo etc. Warm Regards, Vikas

    • Sunil Jacob
      By Sunil Jacob  ~  2 weeks ago
      reply Reply

      Hi Vikas,

      Good day to you!! I have completed my proposal and will be submitting it today. I have presented this topic in my organization with various teams. I experienced lot of enthusiasm among the audience to know about this area.

      Regards,

      Sunil Jacob

    • Sunil Jacob
      By Sunil Jacob  ~  2 weeks ago
      reply Reply

      Hi Vikas,

      Am yet to fill the full details in the proposal page. Will be sharing and completing by tomorrow. As i do  not have video sharing, i do have a presentation link on the same. Hope that would suffice.

      Regards,

      Sunil Jacob


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