由於一般民眾在統一發票對獎時，往往因為數量非常多，因此核對的工作是相當繁瑣吃重，也非常耗時，然而其過程卻是非常的單調，若能將此單調的工作由電腦來輔助完成，將可大大減低此工作所造成的負擔。影像處理技術已廣泛地被使用在數字辨識上，有許多文獻提出此方面相關的研究，例如辨識車牌號碼，然而，針對統一發票號碼的自動化辨識相關研究並不多。本論文將辨識車牌號碼所應用到的影像處理技術延伸至發票號碼的比對上，除了應用類神經網路做數字辨識外，所提出的方法在應用時更具強健性，目標發票可在一定距離範圍內作辨識，且能容許相當的歪斜角度，實驗結果顯示發票置於一定取像距離與角度範圍下皆能達到正確地辨識其號碼。

Invoices are widely used in our society. Because the amount of invoices is usually large when we check the Invoice numbers for price, the checking work is tedious and time-consuming. Digital image processing technologies have been widely used to recognize characters and numbers, such as recognizing vehicle plate numbers. However, there is few research work invoice number recognition. In this paper, we apply digital image processing to automatic invoice number recognition. We use neural networks to recognize numbers. Our method is robust and tolerant of skew and scaling. From experimental results, our method can obtain good performance of recognizing invoice numbers.

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