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Effective Iris Recognition System by Optimized Feature Vectors and Classifier.

, , , and . AIMSA, volume 1904 of Lecture Notes in Computer Science, page 348-357. Springer, (2000)

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A Statistical Identification and Verification Method for Biometrics., and . PRICAI, volume 2417 of Lecture Notes in Computer Science, page 611. Springer, (2002)Adaptive SEJONG-NET for On-line Hangul Recognition., , and . PRICAI, volume 1114 of Lecture Notes in Computer Science, page 447-458. Springer, (1996)Deep-Learning Seat Selection on a Tour Bus Based on Scenery and Sunlight Information., and . JCSE, 13 (3): 89-98 (2019)Probabilistic learning of similarity measures for tensor PCA., and . Pattern Recognit. Lett., 33 (10): 1364-1372 (2012)Weighted Pooling of Image Code with Saliency Map for Object Recognition., , and . MUE, volume 240 of Lecture Notes in Electrical Engineering, page 157-162. Springer, (2013)Effective Iris Recognition System by Optimized Feature Vectors and Classifier., , , and . AIMSA, volume 1904 of Lecture Notes in Computer Science, page 348-357. Springer, (2000)Robust Reconstruction of Damaged Character Images on the Form Documents., , and . GREC, volume 1389 of Lecture Notes in Computer Science, page 149-162. Springer, (1997)Extraction and restoration of digits touching or overlapping lines., , , and . ICPR, page 155-159. IEEE Computer Society, (1996)Improved Techniques for an Iris Recognition System with High Performance., , , and . Australian Joint Conference on Artificial Intelligence, volume 2256 of Lecture Notes in Computer Science, page 177-188. Springer, (2001)Efficient Iris Recognition System by Optimization of Feature Vectors and Classifier., , , and . PRICAI, volume 1886 of Lecture Notes in Computer Science, page 167-176. Springer, (2000)