A New System for Recognition of Handwritten Persian Bank Checks

• Main Authors: Sadri, J., Akbari, Y., Jalili, M. J., Farahi, A., Habibi, M.
• Format: Conference Proceeding
• Language: English
• Subjects: Biological neural networks; Courtesy Amount Recognition; Date Recognition; Feature extraction; Handwriting recognition; Image segmentation; Optical Character Recognition (OCR); Persian Check Processing; Persian Handwritten Recognition; Persian Isolated Digit Recognition; Support vector machines; Training
• ISSN: 1520-5363; 2379-2140
• DOI: 10.1109/ICDAR.2011.188

In this paper, a novel system for segmentation and recognition of handwritten Persian bank checks is presented. Our focus in this paper is on segmentation and recognition of handwritten courtesy amounts and dates of Persian checks. We present the results of our tests on different levels of check fields including: isolated digits, courtesy amounts, and dates. Courtesy amounts and dates used for experiments in this paper have been taken from a novel database created by the authors. Segmenting and extracting dates and courtesy amounts from this database has been carried out completely automatic. Our newly created database has 500 images of Persian Bank checks which all have been written by 200 men and 200 women participants who have been randomly chosen from a large population to write these checks. Our database has 500 samples of Persian courtesy amounts, 500 samples of Persian dates and 5628 images of isolated Persian handwritten digits which all have been taken from our collected checks. Our experimental results on these samples compare favorably with similar systems for Persian bank check processing. Our new database is also freely available to the research community for Persian handwritten recognition and check processing.