Personality Personality AssessmentAssessment

from Handwriting from Handwriting

Aaron DancygierJayson Diaz

Sunday OlatunbosunStacy Bryan

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LZ scale Components in LZ scale Components in Personality AssesmentPersonality Assesment

Thea Lewinson and Joseph Zubin provided a method to quantify the rhythm movement in writing.

The four dimensions that make up this rhythm scale are: Width, Height, Depth, and Form.

These four components determine the following dimensions of personality:

The rational

The social-emotional

The instinctual

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Project GoalProject Goal

Problem: Manual

handwriting analysis is time consuming.

Aim: To Create software that allows a user to analyze handwriting samples using the L-Z analysis scales, with the aim of making the process faster and more objective. Example of Hitler’s handwriting

analysis

Program RequirementsProgram Requirements

Load a scanned handwritten document to the computer screen

Allow users to segment paragraphs, lines, words, and characters by using segmenting tools

Computer-assisted tools for computation of 1 or more LZ scales.

Push scale results into LZ Table and give user flexibility to override results with their own data

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Computer-Assisted Analysis toolComputer-Assisted Analysis tool

The combination of a program’s automated analysis, with the input of an expert graphologist.

This approach has the advantage of significantly reducing the time required to analyze a given handwriting sample, but still keeps the control in the hands of the user.

This increase in power coupled with a higher level of objectivity, provides the user with a comprehensive tool to carry out handwriting analysis that is repeatable. 5

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High Level GoalsHigh Level GoalsIn the creation of this application several key goals were defined.

Simplicity of design

A logically laid out dashboard that allows the user to organize and segment handwriting samples for analysis

A sequential checkpoint driven analysis tool to guide the user through the process of analysis.

Creation of a general management tool, for user profiles.

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7LZ SCALE RESULTS TABLE

System Walk ThroughSystem Walk ThroughLoad a scanned handwritten document to the computer screen:

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LOADING AREA where image files are loaded and held for view

SCRATCHPAD AREA for organizing cropped images

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System Walk ThroughSystem Walk ThroughAllow user to crop images into lines, words and characters

LOUPE TOOL with ZOOM FeatureThe crop box is resizable, moveable, and uses the mouse’s scroll wheel to execute zoom in and zoom out.

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System Walk ThroughSystem Walk ThroughCropped Image Cleanup

Occasionally after cropping, encroaching pixels need to be removed with the PIXEL ERASER tool.

Once the image is ready for analysis, the user must press the “Run Analysis” button.

Before

After

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System Walk ThroughSystem Walk ThroughLZ-GUI pops up : “User Interactive Analysis Pane”

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System Walk ThroughSystem Walk ThroughDrawing Pane after User Interactive Drawing

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AnalysisAnalysis

One method used to measure a subset of LZ scales

Middle Line

Base Line

Top Line

Bottom Line

From those points regressive line approximations are derived and several scales could be calculated as a result, for example:

scale (g) - Height of Middle Zonescale (h) - Proportion of Upper, Middle Zone, Lower Zonescale (i) - Direction of Line

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Scales ImplementedScales Implemented

g - Height of Middle Zone h - Proportion of Upper, Middle Zone & Lower Zone i - Direction of Line

n - Breadth of Letterso - Direction of Slant

Vertical Component

Horizontal Component

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Future EnhancementsFuture EnhancementsImplementing the remaining L-Z scales.

Further attempt to automate as many of the scales as possible.

Finish version one of administration system to manage saved profiles and organize them based on analysis results.

Extending application to be able to take input from a writing tablet.

Verification of algorithms used to compute scales.

Receive direct input from one or more graphologists.

Multiple user logins with different access levels.

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ConclusionConclusion

• We managed to implement an alpha version of the analysis software that automated two of the scales and assisted in the analysis of three others.

• We feel there is much work to be done. Many of the remaining scales can be quantified either through automation or computer assistance.

• The end goal should be to automate as much of the process as possible, through a pattern recognition classification system.

• Essentially more objectivity needs to be applied in the handwriting analysis process to make analysis repeatable.

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