Sivasankari et al., 2025 - Google Patents

Deep Learning With Median Filter and Watershed Segmentation Improves Iris Recognition Accuracy and Robustness

Sivasankari et al., 2025

Document ID
13005919526851826082
Author
Sivasankari K
Hanirex D
Publication year
Publication venue
Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare

External Links

Snippet

Iris recognition is a crucial biometric authentication technique that has garnered significant attention due to its high accuracy and reliability. Even though they work well, iris recognition algorithms have issues separating the iris area from the background and processing noisy …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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