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Case study · Banking

Computer vision for cheque clearing

Detection, OCR/ICR and signature verification for cheque clearing, trained on 20,000 annotated cheques.

Headline result

~70%

less labelling time

Industry
Banking
Client
TBD
Result
~70%

The problem

Cheque clearing depended on reading handwritten and printed fields, and verifying signatures, reliably and at volume.

What we built

A computer vision system trained on 20,000 annotated cheques, using Faster R-CNN, Mask R-CNN and YOLOv3 with custom OCR/ICR and signature verification.

An auto-annotation workflow cut labelling time by around 70%.

Outcome

Automated field extraction and signature verification for cheque clearing.

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