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Method for extracting eyelashes based on improved ant colony algorithm

An ant colony algorithm and eyelash technology, applied in the field of iris recognition, can solve the problems of unsatisfactory eyelash results and difficulty in obtaining the optimal threshold.

Inactive Publication Date: 2016-05-11
SHENYANG POLYTECHNIC UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

The advantage of this method is simple and efficient, but the limitation is that the optimal threshold is often difficult to obtain, resulting in unsatisfactory eyelash detection results

Method used

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  • Method for extracting eyelashes based on improved ant colony algorithm
  • Method for extracting eyelashes based on improved ant colony algorithm
  • Method for extracting eyelashes based on improved ant colony algorithm

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Embodiment Construction

[0039] As shown in the figure, the method of extracting eyelashes based on the improved ant colony algorithm is implemented in the following steps:

[0040] (1) Initialize the pheromone in the eyelash extraction area; put an artificial ant, and set the parameters of the algorithm;

[0041] (2) Each artificial ant performs step (3) and step (4) sequentially;

[0042] (3) The artificial ant chooses the position of the next step, and the end condition is to finish the prescribed number of steps s or to have no way to go;

[0043] (4) The pheromone update is carried out to the passing position of the artificial ants;

[0044] (5) After all the artificial ants have traversed, the pheromone concentration at each position of the image is obtained, and then the edge of the eyelashes is extracted using the OTSU algorithm;

[0045] (6) integrating the obtained eyelash edges to obtain complete eyelashes;

[0046] (7) Sequential sliding windows are used to eliminate noise to obtain the...

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Abstract

The invention belongs to the technical field of iris recognition, and particularly relates to a method for extracting eyelashes based on an improved ant colony algorithm. The method is implemented according to the following steps: (1) initializing pheromone in an eyelash extraction area; putting one artificial ant, and setting each parameter of the algorithm; (2) executing step (3) and step (4) in sequence by each artificial ant; (3) selecting the positions in the next step by the artificial ants, wherein the end condition is that the artificial ants walk specified step number s or have no way out; (4) carrying out pheromone updating on the positions where the artificial ants go through; (5) after the traversing of all the artificial ants is ended, obtaining the pheromone concentration at each position of an image, and then using an OTSU algorithm to extract eyelash edges; (6) integrating the obtained eyelash edges to obtain complete eyelashes; and (7) using a sequence sliding window to eliminate noise so as to obtain the final eyelashes. When the distances of the artificial ants take the pixel of about 25, the algorithm can guarantee the speed of eyelash detection and also can guarantee the effect of eyelash detection.

Description

technical field [0001] The invention belongs to the technical field of iris recognition, and in particular relates to a method for extracting eyelashes based on an improved ant colony algorithm. Background technique [0002] Iris recognition is considered to be one of the most potential biometric identification methods due to its universality, uniqueness, stability, non-invasiveness and other advantages. The main function of eyelashes is to prevent foreign matter such as dust from entering the eyes. However, when extracting iris features, eyelashes may sometimes block the iris to varying degrees, thus affecting the extraction of real iris features. Therefore, in the preprocessing stage of iris recognition, accurately detecting eyelash occluded areas is a very important link to ensure the accuracy of iris recognition. [0003] At present, the main methods of eyelash detection include: KongWaikin, etc., divide the eyelashes into two types: scattered and aggregated, and use a ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06V40/193
Inventor 苑玮琦朱立军
Owner SHENYANG POLYTECHNIC UNIV
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