DocumentCode
2565207
Title
Handwriting identification: a direction review
Author
Bin Abdl, Khaled Mohammed ; Hashim, Siti Zaiton Mohd
Author_Institution
Fac. of Appl. Sci., Hadramout Univ. for Sci. & Technol., Yemen
fYear
2009
fDate
18-19 Nov. 2009
Firstpage
459
Lastpage
463
Abstract
Handwriting is a behavioral trait that is personal to individual. The character shape and the style of writing are visually different from one to another. Handwriting identification is a process to identify or verify the authorship of a handwriting document. Asserting authorship identity based on handwritten text requires three steps: Data acquisition and preprocessing, Feature extraction and Classification. The main issue in handwriting identification is how to get the features that reflect the varieties of handwriting. It has been shown in literature that there are a significant number of feature extraction techniques developed and employed for handwriting identification; however, the importance of a specific feature in handwriting identification has not been entirely investigated.
Keywords
data acquisition; document image processing; feature extraction; handwriting recognition; pattern classification; reviews; text analysis; authorship; behavioral trait; data acquisition; data preprocessing; feature classification; feature extraction; handwriting document; handwriting identification; handwritten text; Application software; Biometrics; Computer science; Data acquisition; Feature extraction; Image processing; Neural networks; Shape; Signal processing; Writing; Features extraction; Handwriting Nature; Handwriting Styles; Handwriting identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-5560-7
Type
conf
DOI
10.1109/ICSIPA.2009.5478698
Filename
5478698
Link To Document