Spotting faulty signatures on bounced cheques using computer vision and ML

The algorithm developed by tech entrepreneur Mahadevan Jayaram's firm has been tested on more than 20,000 handwritten signatures to establish their genuineness

A consummate marketer-turned-technology entrepreneur, Mahadevan Jayaram is trying to find out solutions to an age-old problem faced by banks -- cheque clearance.

Any bank officials involved in the clearance process will tell you about the precision involved and the repercussions of clearing a faulty cheque. Jayaram, co-founder of Chennai-based DeepQuanty Artificial Intelligence Labs, is trying to automate the process which will not only save a lot of costs for banks, but also will help in faster clearance.

"We use computer vision to extract data from a cheque, which then is processed through machine (ML) learning, before giving the go-ahead for