Research And Application Of Handwritten Digit Recognition

The recognition research of handwritten character sometimes cold and sometimes hot Over the past dozens of years, people propose a lot of recognition method and recognition technology, but because the key technology of recognition was not solved, in addition, such reasons of the aspect as the products make a reservation, which made the existing recognition system be unable to meet the requirement of practical application. There are factors in many aspects, such as theoretical research and technology, etc. Handwritten digit recognition is one branch of character recognition.Though it is simple, there is greater practical value. At present, zip codes of are extensively used in letter communicating in our country. Automatically sorting letter with handwritten digital recognition technology have very heavy meaning to lightening post worker's manual sorting. Handwritten numeral has 10 kinds only, but in a lot of situations, recognition precision have very high expectations, in addition, the change of the handwritten numeral is very large. In this case, it is not so easy making sure that high-accuracy recognition.This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns; Pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising,standardization and thinning are discussed Two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail; adopting to the foundation of thinning based on mathematics morphology, Thinning algorithm of serials same and thinning algorithm of protecting shape are discussed; Afterwards, according to principle's diagram of the on-line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition technology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device.Detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match; then under the foundation of handwritten numeral segmentation, off-line handwritten numeral recognition is researched. Especially minimum distance classifying device, tree classifying device and adaptive resonance (ART) network classifying device is discussed At the same time, believes degree analyses are introduced to integrate a lot of classifying devices; At the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored.This thesis deeply researched into the principle and method of handwritten numeral recognition. The recognition technology putted forward is relatively high in precision, can meet the requirement of practical application. This achievement of thesis has significant meaning to the automation of information and popularization of national economic information network, and has very high reference value to the research of handwritten Chinese character recognition.