The dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure features

Author

Jun Tan ; Jian-Huang Lai ; Xiao-Xiong Zuo

Author_Institution

Sch. of Math & Compute Sci., Sun Yat-sen Univ., Guang Zhou, China

fYear

2012

fDate

11-15 Nov. 2012

Firstpage

661

Lastpage

664

Abstract

Handwritten identification is a technique of automatic person identification play important role in economic dispute case. In this paper, we propose a new dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure Features. The system consists of CIMS, CPIS, HMS, HIS Subsystem, segmentation of character, recognition of handwritten, this system with high efficiency and accuracy of compute. This system is running on integration of VC++, MATLAB. Database is Microsoft SQL Server. By this DSEDH system, management data of Economic Dispute handwritten can be obtained accurately. system offers a new efficient method for management of handwritten.

Keywords

C++ language; SQL; handwritten character recognition; image recognition; image segmentation; CIMS subsystem; CPIS subsystem; DSEDH system; HIS subsystem; HMS subsystem; Matlab; Microsoft SQL server; VC++; automatic person identification technique; case information management subsystem; character segmentation; dataset system-of-economic dispute handwritten identification; economic dispute handwritten data management; economic dispute information subsystem; handwritten identification subsystem; handwritten management subsystem; handwritten recognition; stroke shape; structure features; Databases; Economics; Feature extraction; Handwriting recognition; MATLAB; Servers; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2012 21st International Conference on

Conference_Location

Tsukuba

ISSN

1051-4651

Print_ISBN

978-1-4673-2216-4

Type

conf

Filename

6460221