Accomplishments

A Machine Learning Technique for Identification of Personality Traits Using Handwriting
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Personality analysis using handwriting is a methodofunderstandingthepersonalitytraitsofapersondependsontheway person writes. Handwriting may be unique for each personandaperson‟snature,behavior,andcertainpsychologicalaspectscan be inferred based on it. The field that deals with study ofhandwritinganalysisofapersontermedasGraphology.Thepeople‟sworksonhandwritinganalysiscalledasGraphologist .Researchhasproventhatwemakemoreuseofbrainwhilewritingthanthespeaking.Afterthedigitalage,thewayoflifehaschanged. Anythingcanbedonewith afingertip,butalltheseluxuriesarethreatenedatsecurityorfraudcosts.Handwritten script or calligraphy explores the personality of anindividual.Itspeaksabouttheperson‟s characterandpredictsanAttribute as positive, Social Maturity, balanced and shy insidecalligraphybecausewritingisrelatedtothebrainandleavesa sample subconsciously. Several types of handwriting featuresareregardedasslope,baseline,topmargin,wordsize,linespacing, word spacing, left or right or ordinary slant or irregularexpression.Theentiredeviceteststhescriptbasedontheaforementioned types of calligraphy and divides the image intothree modules with the main module, which is used to eliminatenoiseandtosharpenthepicture‟scontrasttoenhancetheperformance. Extract the 7 features of each dataset picture, and thenuse CNN in combination with Multi-Layer Perceptron (MLP).Comparedtotheliteraturesurvey,theproposedframeworkgivesa better result. The process of Graphology is a manual process ofunderstandingthehandwritingofindividualperson.Ittakestimefor understanding the handwriting of the person. Moreover it iscostly and depends on the understanding of the Graphologist. Soto make this process of handwriting recognition easier.