Word & Character Segmentation for Bangla Handwriting Analysis & Recognition

2011 ◽  
Author(s):  
C. Halder ◽  
K. Roy
Keyword(s):  
Character Segmentation ◽  
Handwriting Analysis

Handwriting Analysis and Personality Assessment

2000 ◽  
Vol 5 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Peter Greasley
Keyword(s):  
Personality Traits ◽  
Personality Assessment ◽  
Personnel Selection ◽  
Empirical Studies ◽  
Handwriting Analysis ◽  
Recruitment Process ◽  
Academic Literature ◽  
Personnel Recruitment ◽  
The Subject ◽  
Better Than

It has been estimated that graphology is used by over 80% of European companies as part of their personnel recruitment process. And yet, after over three decades of research into the validity of graphology as a means of assessing personality, we are left with a legacy of equivocal results. For every experiment that has provided evidence to show that graphologists are able to identify personality traits from features of handwriting, there are just as many to show that, under rigorously controlled conditions, graphologists perform no better than chance expectations. In light of this confusion, this paper takes a different approach to the subject by focusing on the rationale and modus operandi of graphology. When we take a closer look at the academic literature, we note that there is no discussion of the actual rules by which graphologists make their assessments of personality from handwriting samples. Examination of these rules reveals a practice founded upon analogy, symbolism, and metaphor in the absence of empirical studies that have established the associations between particular features of handwriting and personality traits proposed by graphologists. These rules guide both popular graphology and that practiced by professional graphologists in personnel selection.

Validation of Graphoanalysis by “Global” or “Holistic” Method

1977 ◽  
Vol 44 (2) ◽  
pp. 403-410 ◽  
Author(s):  
James C. Crumbaugh ◽  
Emilie Stockholm
Keyword(s):  
Personality Assessment ◽  
Statistical Study ◽  
Handwriting Analysis ◽  
Expressive Movement ◽  
Projective Techniques ◽  
Matching Technique ◽  
Total Data ◽  
Holistic Method

Graphoanalysis is the most systematically developed and best researched of all methods of handwriting analysis (generically called graphology). This is a projective expressive movement that is neither better nor more poorly validated than most projective techniques as a means of personality assessment, which is inadequate because their subjectivity makes statistical study difficult. With all projective techniques “sign” or trait validation has been minimal, and the best validation has come from “global” or “holistic” methods. The present study presents a paradigm for the latter type of approach to handwriting analysis, using a matching technique with probabilities of 1/5, wherein five subjects were matched by people who knew them to one of five blind Graphoanalyses of the subjects' writing. This design is herein replicated five times, with total data significantly different from chance expectation ( p < .001), supporting the hypothesis that it is possible to evaluate personality through analysis of handwriting.

A software testbed for digital handwriting analysis and training

2012 ◽  
Author(s):  
W. Fehringer ◽  
J. Loeshelle ◽  
T. Calamari ◽  
M. Keppel ◽  
A. Peck ◽  
...  
Keyword(s):  
Handwriting Analysis ◽  
And Training

Application of Image Processing to the Vehicle License Plate Recognition

2013 ◽  
Vol 760-762 ◽  
pp. 1638-1641 ◽  
Author(s):  
Chun Yu Chen ◽  
Bao Zhi Cheng ◽  
Xin Chen ◽  
Fu Cheng Wang ◽  
Chen Zhang
Keyword(s):  
Traffic Engineering ◽  
Character Recognition ◽  
Character Segmentation ◽  
License Plate ◽  
License Plate Recognition ◽  
Edge Extraction ◽  
Recognition Method ◽  
License Plate Location ◽  
Vehicle License Plate Recognition ◽  
Plate Location

At present, the traffic engineering and automation have developed, and the vehicle license plate recognition technology need get a corresponding improvement also. In case of identifying a car license picture, the principle of automatic license plate recognition is illustrated in this paper, and the processing is described in detail which includes the pre-processing, the edge extraction, the license plate location, the character segmentation, the character recognition. The program implementing recognition is edited by Matlab. The example result shows that the recognition method is feasible, and it can be put into practice.

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