A developmental theory of the relation between geometry and kinematics in handwriting

Abstract

This p q e r d cscribes the kinemaric pmpem'es of handwriring movement3 using a single and uniqueframework based on a BiteEltiptic theory. I n recent yram considerable efforts hove been expended for the study of human handwriting movements Cursive handwriring may be considered (IS (I highly skilled process. which is LIccrrlcd by means ofm rapidsequence of motion HandwriIimg is described m Ihe nine superimposition of basic direontinuous strokes that resuln in a continuous summation of Baa-velocity p m f i The rnodcl IC& to Irajedory reconsIruction,i .D the kinematic domainThe overrrll approach is based upon the hypothpSir thm complu: humm movement3 can be scgmcnlcd into. basic and simple unirS. I n other words, due lo the inlrinsic pmpenies of the neuromuscular system involved in LI "pid writing tmk there is (I elms of simple movements, hereafler called drokes. More complex mowmems are thus generated by the addition of the wrious smkm belonging 10 such a elms.

A model-based approach to offline text-independent Arabic writer identification and verification

“…This model was exploited in the literature with good results for handwriting description [23,24], regeneration [25,26] and more recently OCR [27,28,29]. To the best of our knowledge, however, it has not been yet used for writer identification.…”

Workbook for e-Education: Children’s Online Handwriting Quality Analysis.

“…The Beta-elliptic model consists of decomposing the online trajectory into elementary strokes based on the combination of the dynamic (beta ellipse) and geometric aspects (arc of ellipse) of online handwriting modeling. Furthermore, the model has been proven to be highly successful in various domains such as handwriting recognition [2], [3], [4], handwriting regeneration [13], [14], [15], [16], writer identification [17] . To our knowledge, the Betaelliptic model has not yet used in handwriting evaluation.…”

“…It proposes that handwriting can be reconstructed by the sum of impulse signals by the curvilinear velocity and can be also approximated by a sequence of elliptic shapes. [13], [14], [15] Thus, handwriting can be segmented into simple movements called strokes, which are the result of superposition of time overlapped velocity profiles. Therefore, each stroke with its curvilinear velocity obeys the Beta-elliptic approach and online script can be segmented into different ones by tracing Beta-elliptic parameters.…”

Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition

“…Beta-elliptic model propose that handwriting can be reconstructed by the sum of impulse signals by the curvilinear velocity and can be also approximated by a sequence of elliptic shapes. [25], [26], [27] So, handwriting can be segmented into simple movements called strokes, which are the result of superposition of time overlapped velocity profiles. Consequently, each stroke with its curvilinear velocity obeys the Beta-elliptic approach and online script can be segmented into different ones by tracting Beta-elliptic parameters.…”