摘要:數字識別就是通過計算機用數學技術方法來研究模式的自動處理和識別。隨著計算機技術的發展，人類對模式識別技術提出了更高的要求。特別是對于大量己有的印刷資料和手稿，計算機自動識別輸入己成為必須研究的課題，所以數字識別在文獻檢索、辦公自動化、郵政系統、銀行票據處理等方面有著廣闊的應用前景。

　　對手寫數字進行識別，首先將漢字圖像進行處理，抽取主要表達特征并將特征與數字的代碼存儲在計算機中，這一過程叫做“訓練”。識別過程就是將輸入的數字圖像經處理后與計算機中的所有字進行比較，找出最相近的字就是識別結果。

　　本論文主要介紹了手寫體數字識別的一些基本知識和發展概況，然后介紹了基于BP神經網絡的手寫體數字識別的設計原理，最后本文敘述了利用BP神經網絡原理開發的識別數字的系統。此外，在識別之前，預處理中很重要的一個環節。由于原始圖像在大小方面存在很大的差異，所以必須進行歸一化使得它們具有相同的大小。另外，人們書寫的字體往往有不同的傾斜角度和線條粗細，所以要對字體進行書寫的傾斜矯正和圖像的細化。

關鍵詞:  手寫體數字識別；BP神經網絡；vc++6.0

Abstract:The digital recognition researches how to treat with and recognize pattern automatically through computer with math arithmetic. Along with the development of computer technology, human need more advanced digital recognition technology. Especially for large numbers of printed data and manuscript, the automatic recognition and input of Chinese characters becomes a stringent task, therefore the digital recognition will have a broad application prospect on literature retrieval, office automation, postal service system, bank bill processing.

　　In order to recognize digital characters, the first task we have to do is feature extraction of a map, after that we have to store the feature in the computer. This process is called "the training". This process compares the hand-written digital’s feature and the stored features in the computer.

This paper describes the recognition of handwritten digits some basic knowledge and develop profiles, and then introduced based on BP neural network recognition of handwritten digital design principles, the last paper describes the use of BP neural network is the development of digital identification systems. In addition, in recognition before the pretreatment is very important aspect. Since the original image in size, there is a big difference, so must be normalized so they have the same size. In addition, people often have different fonts of writing the tilt angle and line thickness, so the font to write the image tilt correction and refinement. 

Keywords: handwritten numeral recognition; BP neural network; vc++6.0