Abstract: According to one embodiment of the present invention, a method for coding an iris pattern divides an iris area into a plurality of sectors on the basis of the assumption that a user's pupil and iris are not circular and then can code an iris pattern included in each sector. According to the present invention, an error occurrence frequency can be minimized compared with a case that an iris pattern is coded on the basis of the assumption that a pupil and an iris are circular.

Abstract: The method includes receiving an image of a user's eye region, selecting pixels included in a central region of the image, calculating an average value of brightness values of a plurality of adjacent pixels among the pixels included in the central region, converting the plurality of adjacent pixels into one pixel having the average value as a brightness value, comparing the brightness values of the converted pixels with a critical value to binarize the converted pixels, so as to create a binarized image, detecting a row including a pixel located at an uppermost end of pixels corresponding to a pupil, from the binarized image and correcting the position of the central region such that the pupil is located at the center of the image, based on position information of the row including the pixel located at the uppermost end of the pixels corresponding to the pupil.

Abstract: An iris verification method is provided. According to the iris verification method, it is possible to determine whether the iris to be authenticated is a real human iris during an iris authentication process. Also, according to the iris verification method, it is possible to determine, with precision, whether iris images to be authenticated are real human iris images.

Abstract: A method of detecting the boundary between the iris and the sclera, particularly, a method of detecting the boundary between the iris and the sclera from part of a captured image of a user's eye area, is provided. According to this method, the boundary between the iris and the sclera can be quickly and precisely detected, compared to when using an existing circular boundary detector.

Abstract: Receiving an iris image; detecting, among rows of the iris image, rows in each of which a number of consecutive pixels each having a brightness value above a first threshold value is larger than a second threshold value; detecting, among columns of the iris image, columns in each of which a number of consecutive pixels each having a brightness value above the first threshold value is larger than the second threshold value; selecting, among the detected rows, consecutive rows in a vertical direction whose number is larger than a third threshold; selecting, among the detected columns, consecutive columns in a horizontal direction whose number is larger than the third threshold and determining a set of the pixels as a glint if the set of pixels included in the selected rows and the selected columns and each having the brightness value above the first threshold has a predetermined shape.

Abstract: An iris verification method is provided. According to the iris verification method, it is possible to determine whether the iris to be authenticated is a real human iris during an iris authentication process. Also, according to the iris verification method, it is possible to determine, with precision, whether iris images to be authenticated are real human iris images.

Abstract: A method of detecting the boundary between the iris and the sclera, particularly, a method of detecting the boundary between the iris and the sclera from part of a captured image of a user's eye area, is provided. According to this method, the boundary between the iris and the sclera can be quickly and precisely detected, compared to when using an existing circular boundary detector.

Abstract: The method includes receiving an image of a user's eye region, selecting pixels included in a central region of the image, calculating an average value of brightness values of a plurality of adjacent pixels among the pixels included in the central region, converting the plurality of adjacent pixels into one pixel having the average value as a brightness value, comparing the brightness values of the converted pixels with a critical value to binarize the converted pixels, so as to create a binarized image, detecting a row including a pixel located at an uppermost end of pixels corresponding to a pupil, from the binarized image and correcting the position of the central region such that the pupil is located at the center of the image, based on position information of the row including the pixel located at the uppermost end of the pixels corresponding to the pupil.

Abstract: Receiving an iris image; detecting, among rows of the iris image, rows in each of which a number of consecutive pixels each having a brightness value above a first threshold value is larger than a second threshold value; detecting, among columns of the iris image, columns in each of which a number of consecutive pixels each having a brightness value above the first threshold value is larger than the second threshold value; selecting, among the detected rows, consecutive rows in a vertical direction whose number is larger than a third threshold; selecting, among the detected columns, consecutive columns in a horizontal direction whose number is larger than the third threshold and determining a set of the pixels as a glint if the set of pixels included in the selected rows and the selected columns and each having the brightness value above the first threshold has a predetermined shape.