Bank Checks Segmentation Dataset

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BCSD: A novel segmentation dataset for signatures on bank checks

Muhammad Saif Ullah Khan
Supplementary Code arXiv
BCSD: A novel segmentation dataset for signatures on bank checks

This dataset consists of 158 images of bank checks labeled with segmentation masks for handwritten signatures on the checks.

Abstract

The dataset presented provides high-resolution images of real, filled out bank checks containing various complex backgrounds, and handwritten text and signatures in the respective fields, along with both pixel-level and patch-level segmentation masks for the signatures on the checks. The images of bank checks were obtained from different sources, including other publicly available check datasets, publicly available images on the internet, as well as scans and images of real checks. Using the GIMP graphics software, pixel-level segmentation masks for signatures on these checks were manually generated as binary images. An automated script was then used to generate patch-level masks. The dataset was created to train and test networks for extracting signatures from bank checks and other similar documents with very complex backgrounds.

TL;DR

We present the Bank Checks Segmentation Dataset (BCSD), designed for the semantic segmentation of signatures in bank check images. The dataset includes:

  1. 129 high-resolution training images from various sources.
  2. 29 low-resolution testing images sourced from Google.
  3. Pixel-level segmentation masks for accurate signature extraction.

This dataset is ideal for training and evaluating models in complex document segmentation tasks.

Data Sources

The bank check images were obtained from the following sources:

IDRBT Cheque Image Dataset (110)

NRIInternet Scam Documents (10)

Google (29)

Self-generated images (9)