AI Approach for Iris Biometric Recognition Using a Median Filter

1. AI Approach for Iris Biometric Recognition Using a Median Filter Creating New Era of Latest technology https://dailytechnologyblog.weebly.com/

2. AI Approach for Iris Biometric Recognition Using a Median Filter Privacy and Security being the major concern now-a-days, Recognition Technique could find a variety of applications. Such applications could be: Biometric authentication, Security and many more. Some factors possibly lead to flaws in authentication. While processing authentication, various parameters are to be considered, such as sufficient lighting when image is being captured, proper posture of the person, image superiority and various other. The adequate examination and experimentation of all the above mentioned parameters could produce acceptable and desirable results. The technique of Pre-processing (processing of data for having its comparison prior to its transmission to the database) could provide an enhanced probability of acquiring the correct matches . Every individual have uniqueness in their appearance, face or certain body characteristics minimizing the chances of duplicity in biometric system. This makes biometric recognition or biometric systems as most widespread and highly reliable technique for providing highest security. Digital representation of the data of an individual provides uniqueness to the individual, biometric sensors employ these digital data to check authenticity of the user or the authorized person. Examples of such sensors are: fingerprint sensor, digital camera for face extract, etc https://dailytechnologyblog.weebly.com/

3. Types of Biometric Authentication Systems Biometric being considered the most acceptable, secure, and dependable system has captured a wide range of applications. Various biometric authentication techniques are: 1. Face recognition 2. Iris Recognition 3. Fingerprints recognition 4. Palm recognition 5. Face Recognition Iris Recognition Iris is the ring-shaped region in the human eye that inscribes the pupil of an eye. Iris recognition technique employs the detection and comparison of the unique patterns of iris for every individual. It is designated as the fastest and most efficient technique that is capable of producing intended results in the least duration of time. Face recognition Face recognition technique is rising to be the most acceptable and secure field in biometric authentication. It is employed in surveillance systems since it has the caliber to successfully execute its algorithm without object comparison. The most advantageous aspect of this technique as compared to other similar systems is individuality and attainability. https://dailytechnologyblog.weebly.com/

4. Palm Recognition Palm recognition or Palm print recognition could be considered as an optimistic and assuring technique that employs palm characteristics for the identification and recognition of a person. The characteristics employed in fulfillment of recognition criteria are lines of a palm, wrinkles, and ridges on a hand, etc., where wrinkles of palm are identified as being thinner than the primary lines. Fingerprint Recognition When government organizations and agencies are taken into account, they demand high security; this requirement could be easily fulfilled using biometric systems, specifically by the fingerprint recognition technique. Every individual has a unique and distinguishable print of fingers https://dailytechnologyblog.weebly.com/

5. Preprocessing the images using the median filter A biometric system is designed to follow certain biometric recognition algorithms, defined specifically for each different mechanism. While processing authentication, various parameters are to be considered, such as sufficient lighting when the image is being captured, proper posture of the person, image superiority, and various others. Each biometric system employs several modes or processes to authorize, these are feature extraction, sensing, and matching modules. The filtration mechanism is applied to pre-process the input image of the iris. The pre-processing of the input image is done to remove the noisy content from it. This is achieved by applying the collaboration of median filters. After filtration, the feature from the processed image is extracted by using the LBP-LDA technique. After extracting the features, the Artificial Neural Network is used to perform pattern matching. For purpose of performance evaluation, the proposed iris recognition is implemented in MATLAB. https://dailytechnologyblog.weebly.com/

6. Application 1. Surveillance 2. Logical Access Control 3. Physical Access Control 4. Time and Attendance 5. Law Enforcement 6. Border and airport control 7. Secured transaction banking and financial institutions Final words Security has become the main issue in today’s world. Various security and authentication methods or techniques are applied to secure the iris template. The proposed feature extraction and pattern recognition techniques on the preprocessed image so that the security and reliability of the system could be raised. https://dailytechnologyblog.weebly.com/

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