ABSTRACT
PROJECT OUTPUT
Now a days CTS bank cheques are commonly used for many financial transactions globally and processed by clearance branches by using the distinct cheque number of the corresponding bank. The proposed work focuses on segmentation and recognition of bank cheque number using optical character recognition and statistical correlation function. In general bank cheques contain the cheque number at left bottom region which will be considered as the potential area for locating and segmenting the cheque number. A standard template of numerical digits will be created from 0 to 9 for matching with the test samples using standard statistical correlation function. The manual database will be created of bank cheque images including bank cheques are used for number recognition. The accuracy of the system is analyzed by the variation on the range of the cheque image with cheque number having different font, size, quotes and varieties of characters with noise. The efficiency of the system is evaluated through the experimental results extensively.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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