Statistics based segmentation and parameterization method for dynamic processing, identification, and verification of binary contour image

US5745598A · kind A · utility

Inventors

• Venson Shaw · Kirkland, US
• Andrzej Stefan Sluzek · Abu Dhabi, AE

Key dates

• Filing date: Mar 11, 1994
• Grant date: Apr 28, 1998
• Expiry date: Mar 11, 2014

Classification

• Technology area (CPC G): Physics
• CPC primary: G07C9/257
• WIPO field: Control
• WIPO sector: Instruments

Abstract

An improved method of segmentation and feature-based description for verification/authentication of contour images (e.g. handwritten signatures) is described, directed to a system which employs a set of parameters extracted from a dynamic description of a contour image template to perform segmentation of incoming contour images being verified/authenticated by the system. The preferred embodiment would consist of a central processing unit incorporating a high-performance computer, and of many autonomous verification units (e.g. ATM machines) equipped with inexpensive processing devices. In the central processing unit, a contour image template is segmented into strokes according to the segmentation parameters which are computed using selective properties of the mathematical transformation for said contour image template. For illustration purpose, a discrete cosine transform (DCT) is being used. The segmentation parameters, selective global parameters of the contour image, and selective features of the extracted strokes are memorized in a portable memory device. In a verification unit, an incoming contour image is normalized according to the global parameters retrieved from the portab…