Abstract
During normal cash deposit process, the bank customer will fill in the account number, amount of cash and name of the account holder at the bank in slip, then key in the account number and amount manually into the computer. If there are numbers of customer at one time, the process will take times and sometime the banker will make errors during reading or keying the data. The recognition process was executed using integration of Artificial Intelligent techniques: image preprocessing and Neural Network. Image processing techniques were used to extract the written character on the slip. After that, the extracted characters were passed to the recognition phase, where Neural Network will identify the input character patterns. Results: We tested the proposed method using 40 cash deposit slip written with numbers to be tested. 3 neural networks with 40, 50 and 60 training data particularly were used to test the success rate of recognition. Through experiment, the proposed system had successfully recognizes at least 90% of the written character on cash deposit slips. Using the proposed approach, we developed an automatic banking deposit number recognition system which is able to recognize the handwritten account number and amount number on the cash deposit slip and thus automate the cash deposit process at bank counter.
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Yusob, B., Muhamad Zain, J., Wan Hussin, W.M.S., Lim, C.S. (2011). Banking Deposit Number Recognition Using Neural Network. In: Mohamad Zain, J., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22170-5_30
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DOI: https://doi.org/10.1007/978-3-642-22170-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22169-9
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