A Classification Method of Iris Image Quality Based on bp Network and Wavelet Transform
An iris image and wavelet transform technology, applied in the field of image recognition, can solve the problems of increasing the difficulty of iris recognition, unstable characteristics of iris feature templates, etc., and achieve the effects of good environmental adaptability, reduced manual intervention, and high degree of automation
Inactive Publication Date: 2018-07-24
SHANDONG NORMAL UNIV
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However, because the iris image is affected by contrast, illumination, interference, etc., there are some unstable features in the extracted iris feature template, which increases the difficulty of iris recognition.
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Abstract
The invention discloses a method for classifying iris image quality based on BP network and wavelet transform, including constructing a BP neural network model for iris image quality classification; selecting several iris image samples, performing wavelet transform on them, and extracting wavelet transform coefficients The eigenvalues of the extracted wavelet transform coefficients are input to the BP neural network model for training; the trained BP neural network model is used to classify the iris image quality; the wavelet coefficient eigenvalues extracted from the iris image samples are input to the trained BP Neural network model; if the output result of the BP neural network model is the same as the expected value of the available iris, it is judged that the current input iris quality is available; otherwise, if the output result is the same as the expected value of the unavailable iris, it is judged that the current input iris quality is not available.
Description
technical field The invention belongs to the field of image recognition, in particular to an iris image quality classification method based on BP network and wavelet transform. Background technique Iris recognition is a new biometric recognition method developed in recent years. Compared with other biometric identification methods such as fingerprint recognition, face recognition and voice recognition, iris recognition has stronger advantages in terms of accuracy, uniqueness, stability, collectability and non-invasiveness. In practical applications, the recognition effect of the iris recognition system is closely related to the quality of the collected images. Rainbow recognition system requires people to cooperate with equipment. However, there are some uncertain and unstable factors between equipment and people. In the process of iris image acquisition, uneven light conditions, changes in the distance between the human eye and the acquisition device, and the physiologic...
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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/02G06K9/00
Inventor 万洪林王公堂白成杰刘霏
Owner SHANDONG NORMAL UNIV
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