Handwritten words recognition for legal amounts of bank cheques in English script

Author

Singh, Sneha ; Kariveda, Tharun ; Gupta, Jija Das ; Bhattacharya, Kallol

Author_Institution

Indian Inst. of Technol., Guwahati, Guwahati, India

fYear

2015

fDate

4-7 Jan. 2015

Firstpage

1

Lastpage

5

Abstract

The recognition of legal amount present on a bank cheque is a big challenge because of the structural complexity of characters and variability of writing styles in automatic bank cheque processing. This paper proposes a technique of text word recognition based on template matching technique using Correlation coefficient. We have developed a database of 61 words, combination of which can represent any legal amount written in words in Indian bank cheque. Proposed algorithm is tested on our database and overall 76.4 percent word recognition accuracy is achieved which is an encouraging result for off-line word recognition.

Keywords

cheque processing; handwritten character recognition; image matching; natural language processing; text detection; English script; Indian bank cheque legal amount; automatic bank cheque processing; character structural complexity; correlation coefficient; handwritten word recognition; offline word recognition; template matching technique; text word recognition; word recognition accuracy; writing style variability; Accuracy; Databases; Handwriting recognition; Law; Text recognition; Writing; bank cheque; correlation-coefficient; cover-function; template;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on

Conference_Location

Kolkata

Type

conf

DOI

10.1109/ICAPR.2015.7050716

Filename

7050716