GVF Snakes (gradient vector flow snakes) model based iris location algorithm

An iris positioning and iris technology, which is applied in computing, computer parts, character and pattern recognition, etc., can solve the problems of relatively high iris image quality requirements and large deviations, and achieve uniform distribution, strong self-adaptability, and simple implementation Effect

Inactive Publication Date: 2014-08-06
RES INST OF SUN YAT SEN UNIV & SHENZHEN
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods have subjective or objective deficiencies. The method based on the gray value has relatively high requirements on the quality of the iris image, and the lack of light or exposure to the iris image will have a great

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • GVF Snakes (gradient vector flow snakes) model based iris location algorithm
  • GVF Snakes (gradient vector flow snakes) model based iris location algorithm
  • GVF Snakes (gradient vector flow snakes) model based iris location algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0023] The invention provides an iris positioning algorithm based on the GVF Snakes model, which enables convenient and accurate identification and positioning of biological features.

[0024] The scheme of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0025] figure 1 It is a concave edge detection (a. concave edge image b. snake iteration 500 edge detection image c. GVF Snakes edge detection image iterati...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a GVF Snakes (gradient vector flow snakes) model based iris location algorithm. The GVF Snakes model based iris location algorithm includes 1), subjecting an original iris image to coarse positioning and looking for a pseudo circle of a pupil; 2), calculating the GVF value of the image and subjecting the inner edge of an iris to coarse positioning by the aid of a GVF Snakes module; 3), subjecting the inner edge of the iris to accurate positioning by the aid of the step 2) to determine the geometrical parameter of the inner edge; 4), detecting the outer edge of the iris by the aid of the GVF Snakes module, processing the outer edge of the iris as a circle and positioning the outer edge of the iris; 5), determining the geometrical parameter of the outer edge of the iris by the aid of the outer edge of the iris positioned in the step 4); 6), drawing a circle by the aid of the center and the radius of the outer edge, wherein the circumference is an accurately positioned image of the outer edge of the iris, and the iris can be accurately positioned by combining the center and the radius of the inner edge. The GVF Snakes model based iris location algorithm is a new method in positioning of the iris and has the advantages of high adaptive capability and accurate algorithm, the GVF Snakes model is easy to implement with new constraints easily added and the like.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to an iris positioning algorithm based on a GVF Snakes model. Background technique [0002] In recent years, various biometric-based identification technologies have been developed rapidly. Iris recognition has the characteristics of accuracy, non-contact, uniqueness, life-long invariance and portability, and is one of the most ideal identification technologies. Iris localization is one of the key steps in iris recognition, and it is the primary research problem of iris recognition. The existing foreign algorithms include Daugman's circle detection algorithm, which uses an effective calculus operator Perform iris positioning; the iris positioning algorithm in the Wildes system uses a voting mechanism. The disadvantage of the Daugman and Wildes iris location algorithms is that they have high requirements on the iris image. The domestic iris positioning a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
Inventor 苏航刘开建刘海亮
Owner RES INST OF SUN YAT SEN UNIV & SHENZHEN
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap