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首页> 外文期刊>International Journal of Information Technology and Computer Science >Offline Handwriting Recognition Using Feedforward Neural Network
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Offline Handwriting Recognition Using Feedforward Neural Network

机译:使用前馈神经网络的离线手写识别

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摘要

Many business especially Banks’s services are expanding to include services directed not only to corporate customers but also to individual customer. Furthermore, by the increment of those services, many individual applications to be processed also increases as well. Facing an immense moment, in which requiring more improvements in how it should manage or maintain its applications, some systems or procedures must be improved to match currently increasing customers’ applications. Prior to the improvements, many application forms are filled, input to machine and even to be processed and approved manually. Until recently, application fulfillment processes consists of manual information filling by applicants in an application request paper and later to be re-input by electronic data processing staff which is actually redundant. Aware of such situation, this paper proposes and idea to reduce input processes in an integrated business system by utilizing character recognition system.
机译:许多业务,尤其是银行的服务正在扩展,不仅包括针对企业客户的服务,还包括针对个人客户的服务。此外,随着这些服务的增加,要处理的许多单个应用程序也随之增加。面对一个巨大的时刻,即需要对其管理或维护其应用程序的方式进行更多改进,必须改进某些系统或过程以匹配当前不断增长的客户应用程序。在进行改进之前,需要填写许多申请表,将其输入机器,甚至手动进行处理和批准。直到最近,申请履行过程都是由申请人在申请请求文件中填写手动信息,然后由电子数据处理人员重新输入,这实际上是多余的。意识到这种情况,本文提出了一种利用字符识别系统减少集成业务系统中输入过程的想法。

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