Pen direction sequences in character recognition

Powers, Victor Michael

doi:10.1016/0031-3203(73)90022-8

Cited by 16 publications

(2 citation statements)

References 3 publications

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“…In our normalization procedure, the signature contours have normalized with respect to the larger (dominant) boundary; i.e. the larger boundary points have given coordinates scaled between (-1) to (1), all other existed counters then measured with respect to that scaling scheme figure (13). The following relationships have adopted to perform this normalization process:…”

Section: Contour's Signature Normalization Processmentioning

confidence: 99%

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Off-Line Arabic Signature Recognition Based on Invariant Moments Properties

A. H,

C. Bucheet,

I. Abd-Almajied

2011

ETJ

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In this paper, a number of persons were selected to use their signature as a database for the work. Six signatures were taken from each person through two separated period of time using the same pen and paper. The adopted method consists of three main steps. In the first step, the digital image of the signature transformed into contours. After that the main contours were extracted and the noise was rejected. These extracted contours and their dimensions were measured precisely according to their (x) and (y) axis. Second step is the coding step, where the (Chain Code) method was used to code the extracted contour from the first step, converted them into vectors in which they are very easy to deal with. Using length of the vectors were sorted descending by that can be easily used in comparison process. The third (final) step includes application of the (Invariant Moments) method with these chain vectors and the calculated mean of the output for the five signatures taken for each signer and used it as a reference feature for the signer in the recognition process. The signature recognition process completed using the (Minimum Distance) method as a classifier to identify the personal signature.

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Section: Contour's Signature Normalization Processmentioning

confidence: 99%

“…The determination of T is based on an enrollment set of known signatures. The measure of closeness between the test signature and the reference database signatures can be performed by utilizing the Euclidean minimum distance metric [13] [14], given by: ......... (8)…”

Section: Testing Phasementioning

confidence: 99%