Extraction of handwritten areas from colored image of bank checks by an hybrid method

TL;DR

This paper presents a hybrid method combining Fourier descriptors, color recognition, and morphological tools to extract handwritten areas from colored bank check images, improving check recognition processes.

Contribution

It introduces a novel hybrid approach integrating multiple image processing techniques for accurate handwritten area extraction on checks.

Findings

Effective extraction of handwritten areas demonstrated

Improved accuracy over traditional methods

Applicable to automated check processing systems

Abstract

One of the first step in the realization of an automatic system of check recognition is the extraction of the handwritten area. We propose in this paper an hybrid method to extract these areas. This method is based on digit recognition by Fourier descriptors and different steps of colored image processing . It requires the bank recognition of its code which is located in the check marking band as well as the handwritten color recognition by the method of difference of histograms. The areas extraction is then carried out by the use of some mathematical morphology tools.