Dissertation > Excellent graduate degree dissertation topics show

Optical Character Recognition System Based on BP Neutral Network

Author: QiuHuiHui
Tutor: ZhengZhengQi
School: East China Normal University
Course: Electronic technology
Keywords: Character recognition Image Processing Feature extraction BP neural network
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 272
Quote: 3
Read: Download Dissertation

Abstract


This article is mainly concerned about the auto-recognition of printed Chinese letters in image.In the system’s design, this paper introduces the neural network pattern recognition technology and presents a design work of Character Recognition System based on BP neural network. In this paper ,the whole system is divided into three main modules(pretreatment, feature extraction and crude classification ,and the character classifier based on BP)for a detailed description.To improve the performance of the system and to reduce the error rate and rejection rate as much as possible, this article carefully analyses the key and difficult problems which were encountered in the design of these three main modules, and proposes the following solutions:1.In the design of Pretreatment module, a variety of image processing technology is concerned. A series of algorithm including the removal of discrete miscellaneous noises, character segmentation and slope adjustment is proposed. The realization of these algorithms lays a solid foundation for Character Feature Extraction.2. Character Feature Extraction is the key point, which decides the success of the overall design. After comparing several popular feature extraction methods, a rough classification method based on the features of closed curves and vertical lines in character skeletons is presented. It evenly divides the limited Chinese letters aggregate into three subsets to lower the difficulty of follow-up treatments. This paper brings about an algorithm of extraction which combines rough grid feature and regulated projection feature. It balances overall and partial features of characters and makes identity of similar Chinese letters easier.3. In the design process of Characters Classifier based on BP, we carefully studied the key problems in network design which consists of network framework design, parameters design, network training and network recognition, and put forward a set of network design options to optimize network performance. The effectiveness of the optimization program was verified in the final system test.This paper shows that character recognition system based on BP neural network is not only able to effectively recognize characters in the same font of training samples, but can also recognize characters in other fonts. In addition, it has certain capacity of anti-interference and anti-deformation. This design program is not only a reference to improve the performance of OCR systems, but can also be used in other fields related with OCR.

Related Dissertations

  1. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  2. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  3. Research on Visual Servo System of Mechanical ARM,TP242.6
  4. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  5. Municipal tourism land use planning environmental impact assessment,X820.3
  6. Application of Semi-Structure in Leisure Dress,TS941.2
  7. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  8. Research on Detecting Optical Fiber Geometric Parameter Based on Machine Vision,TN253
  9. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  10. Mine Risk Information Integration and Intelligent Early Warning,X936
  11. The Designing of HD Vehicle Detection System Based on Fpga,TP391.41
  12. Design of Positive Draw-back Motion of Wool Spinning Frame and Comparison of Prediction Models of Worsted Yarns Performances,TP183
  13. Research and Design of Global Vision in Small-Sized Intelligent Soccer Robot System,TP242.6
  14. Profile Measuring System Based on Digital Image Processing,TP274
  15. Study on Distributed Optical Fiber Sensor for Detection and Positioning of Oil Pipeline Ice Blocking,TE973
  16. The Gray Image Processes Techology of Sediment Core and Its Application on the High Resolution Sediment Record in Inner Shelf of the East China Sea,P736.21
  17. Fingerprint image enhancement algorithm in attendance System and Implementation,TP391.41
  18. Development of Embedded Image Processing Platform Based-on ARM Chip,TP391.41
  19. Based on image feature extraction algorithm design and application,TP391.41
  20. Based on Fuzzy Theory automatic vehicle number plate recognition system design and implementation,TP391.41
  21. Content-based video retrieval method Tourism Research and Application,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile