scholarly journals Exploiting Character Class Information in Forensic Writer Identification

2011 ◽  
pp. 31-42
Author(s):  
Fernando Alonso-Fernandez ◽  
Julian Fierrez ◽  
Javier Galbally ◽  
Javier Ortega-Garcia
Keyword(s):  
Writer Identification ◽  
Class Information ◽  
Character Class

EXPERIMENTAL ANALYSIS OF INDIVIDUALITY OF JAPANESE HANDWRITING

2009 ◽  
Vol 23 (05) ◽  
pp. 869-885 ◽  
Author(s):  
KATSUHIKO UEDA ◽  
KEN'ICHI MATSUO ◽  
BONNIE L. SCHWID
Keyword(s):  
Case Studies ◽  
Experimental Analysis ◽  
Forensic Analysis ◽  
Writer Identification ◽  
Forensic Evidence ◽  
Quantitative Investigation ◽  
Verification Algorithms ◽  
Normal Japanese ◽  
Character Class

A handwriting examination to determine the writer (writer verification and writer identification) is based upon the hypothesis that each person has characteristic handwriting that is distinct from the handwriting of other individuals. This hypothesis has been accepted empirically through many case studies. However, this hypothesis must be established with scientific and quantitative rigor in order to increase its admissibility as forensic evidence. This paper describes the results of a quantitative investigation into individuality of Japanese handwriting. The authors investigated the individuality (consistency and discriminability) of normal Japanese handwriting using variation entropy and writer verification algorithms. We also compared these results with the analysis results of Japanese signatures that we investigated previously. The authors discuss the differences of individuality between normal handwriting and signatures. Individuality of normal handwriting becomes noticeable as the number of strokes increases, and varies with the complexity of the character class. Although individuality of both normal handwriting and signatures also depends on the writer, this is more noticeable for signatures. It is important that these facts are considered in actual forensic analysis of Japanese handwriting.

A Set of Features for Text-Independent Writer Identification

2016 ◽  
Vol 11 (10) ◽  
pp. 898 ◽  
Author(s):  
Tayeb Bahram ◽  
Abdelkader Benyettou ◽  
Djelloul Ziadi
Keyword(s):  
Writer Identification

Writer identification system for pre-segmented offline handwritten Devanagari characters using k-NN and SVM

2019 ◽  
Vol 24 (13) ◽  
pp. 10111-10122 ◽  
Author(s):  
Shaveta Dargan ◽  
Munish Kumar ◽  
Anupam Garg ◽  
Kutub Thakur
Keyword(s):  
Identification System ◽  
Writer Identification

Wavelet-based approach for writer identification in music score

2014 ◽  
Author(s):  
Debleena Das ◽  
Sukalpa Chanda ◽  
Partha Pratim Roy ◽  
Umapada Pal
Keyword(s):  
Writer Identification ◽  
Music Score
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