Optical character recognition using neural networks
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Optical character recognition using neural networks
pBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks A HOCCHUYÊN NGÀNH: xư LY THÔNG TIN VÀ TRUYỀNTHÔNGNGƯỜI HƯỚNG DẦN KHOA HỌC:Hà Nội - 2009BỌ GIÁO DỤC VÀ DÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘI********* 0 *********THEODOR CONSTAN I lNESCUOPTICAL CHARA TER RECONGNTTION USING NEURALNETWORKSLUẬN VĂN THẠC sì KHOA HOCCHUYÊN NGÀNH: xư LÝ THÔNG TIN VÀ TRUYÈ Optical character recognition using neural networks N THÔNGNGƯỜI HƯỚNG DẤN KHOA HỌC: NGUYÊN LINH GIANGHÀ NỌ1 2009ContentsI. Introduction..................................................... 3IL PatternOptical character recognition using neural networks
recognition.............................................. 6III.Optical character recognition (OCR)...........................26IV.Neural networks.....pBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks .........................71I. IntroductionThe difficulty of the dialogue between man and machine comes on one hand from the flexibility and variety of modes of interaction that we are able to use: gesture, speech, writing, etc. and also the rigidity of those classically offered by computer systems. Optical character recognition using neural networks Part of the current research in IT is therefore a design of applications best suited to different forms of conununication commonly used by man. This iOptical character recognition using neural networks
s to provide the computer systems with features for handling the information that humans manipulate themselves currently every day.In general the infopBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks e more precise, printed character recognition. By the application and personal contexts the way to represent this information and transmit it is very variable. Just consider for example the variety of styles of writing that it is between different languages and even for the same language. Moreover b Optical character recognition using neural networks ecause of the sensitivity of the sensors and the media used to acquire and transmit, the information to be processed is often different from the origiOptical character recognition using neural networks
nals. It is therefore characterized by either intrinsic to the phenomena to which they are either related to their transmission ways inaccuracies. ThepBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks ssemination of the informational means. This remains true despite the growth of calculation power and the improvement of processing systems since the research is at the same time directed towards the resolution of more and more difficult tasks and to the integration of these applications in cheaper Optical character recognition using neural networks and therefore low capacity mobile systems.Optical character recognition represents the process through which a program converts the image of a charactOptical character recognition using neural networks
er (usually acquired by a seamier machine) into the code associated to that character, thus enabling the computer to “understand" the character, whichpBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks at you can copy, as you would any other computer generated document. In its modern form, it is a form of artificial intelligence pattern recognition.OCR is the most effective method available for transferring information from a classical medium (usually, paper) to an electronic one. The alternative Optical character recognition using neural networks would be a human reading the characters in the image and typing them into a text editor, which is obviously a stupid. Neanderthal approach when we posOptical character recognition using neural networks
sess the computers with enough power to do this mind-numbing task. The only thing we need is the right OCR software.Before OCR can be used, the sourcepBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks dots). Software to recognize the images is also required. The OCR-3-software then processes these scans to differentiate between images and text and determine what letters are represented in the light and dark areas.The approach in older OCR programs was still animal. It was simply to compare the c Optical character recognition using neural networks haracters to be recognized with the sample characters stored in a data base. Imagine the numbers of comparisons, considering how many different fontsOptical character recognition using neural networks
exist. Modern OCR software use complex neural-network-based systems to obtain better results - much more exact identification - actually close to 100%pBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOA Optical character recognition using neural networks haracters, and the background. Allowing for irregularities of printed ink on paper, each algorithm averages the light and dark along the side of a stroke, matches it to known characters and makes a best guess as to which character it is. The OCR software then averages or polls the results from all t Optical character recognition using neural networks he algorithms to obtain a single reading.pBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOApBỌ GIÁO DỤC VÀ ĐÀO TẠO TRƯỜNG ĐẠI HỌC BÁCH KHOẤ HÀ NỘITHEODOR CONST ANTINESCUOPTICAL CHARATER RECONGNITION USING NEURAL NETWORKSLUAN VAN THẠC sĩ KHOAGọi ngay
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