Research of Features Extraction for Printed Numerals Based on Geometric Properties

Yong Lin Wang

doi:10.4028/www.scientific.net/AMM.55-57.1523

Paper Titles

Fuzzy-Robust Design Optimization of Dimension Tolerance Using the Improved Genetic Algorithm
p.1502

Characterization of Y/TiO₂ Nanoparticles and their Reactivity for CO₂ Photoreduction
p.1506

Numerical Simulation Research of Micro-Injection Molding Simulation
p.1511

Hydrogen Storage in A-Type Zeolite by Grand Canonical Monte Carlo Simulation
p.1518

Research of Features Extraction for Printed Numerals Based on Geometric Properties
p.1523

Study on Method to Extract Feature Parameter of Wear Particle Group in Ferrographic Image for the Diesel Engine Lubricants
p.1530

Qualitative Assessment of the RCS Reduction Benefits on Detection Probability of an Armed Helicopter
p.1535

Automotive Route Planning Method for Minimizing the Radar Detection of an Armed Helicopter
p.1541

Study on Burnout and so₂Emission Characteristics during Co-Combustion of Petroleum Coke and Oil Shale in a Fluidized Bed
p.1547

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Research of Features Extraction for Printed...

Research of Features Extraction for Printed Numerals Based on Geometric Properties

Abstract:

A feature extraction method based on the geometric properties of printed numerals was descrided. After reading a single binary numerical image, determine the boundary of character on this numerical image. Then according to the structure, the features that can uniquely identify the numbers could be extracted from the printed numerals, and verify the obtained feature values of numbers to ensure that each extracted feature value of number was different from that of others. If the results showed that all the extracted feature values of numbers were not the same, it proved that the feature extraction method was feasible.

You might also be interested in these eBooks

Recent Trends in Materials and Mechanical Engineering Materials, Mechatronics and Automation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

1523-1529

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.1523

Citation:

Cite this paper

Online since:

May 2011

Authors:

Yong Lin Wang

Keywords:

Feature Extraction, Uniqueness, Verification of Feature Values

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] JING Tao, WANG Zhong. A Survey of Optical Character Recognition[J]. Computer Engineering, 2003, 29(2): 1-3.

Google Scholar

[2] YAN Guoli, HUANG Shan. Application of a Quick Recognition Algorithm for Figures in Number Recognition of ID Card Image[J]. Computer Engineering, 2003, 29(1): -147-149.

Google Scholar

[3] Ni Guibo, Liang Xiaozun. The Method of Printed Figures Based on Structure[J]. Software Guide, 2010, 9(5): 19-21.

Google Scholar

[4] ZHONG Rui, HUANG Hua. A Printed Numerals' Recognition Method Realized by VB[J]. Computer Engineering, 2003, 29(7): 108-110.

Google Scholar

[5] Saleh Ali K, Al-Omari. Digital Recognition using Neural Network[J]. Journal of Computer Science, 2009, 5(6): 427-434.

Google Scholar

[6] MENG Yan, XIONG Zhang, LI Chao. A Rapid Digit Recognition Method Under Complex Background[J]. Computer Engineering, 2009, 31(5): 188-190.

Google Scholar

[7] R C Gonzalez, R E Woods. Digital Image Processing, Third Edition[M]. Pearson Education, Inc, (2008).

Google Scholar

[8] Yi Zeming, Ding Chunli. Proficient in MATLAB 6[M]. Tsinghua University Press, (2002).

Google Scholar

[9] Luo Junhui, Feng Ping. Matlab 7. 0 in Image Processing[M]. Machinery Industry Press, (2005).

Google Scholar