Grid Based Feature Extraction for the Recognition of Indian Currency Notes
Ajit Danti, Karthik Nayak · 2014
In this paper, important feature of Indian Currency Note are extracted and recognized. Currency features such as denomination, governor declaration, year of print etc. are segmented for recognition using 3×3 grid. Based on geometrical shape, denomination of currency such as 100, 500, 1000 are determined with the help of Neural Network classifier. Year of print of currency note is extracted using OCR techniques. Proposed method is experimented on a large dataset and demonstrated the efficiency of the approach.