Abstract
Iris recognition for human identification is one of the most accurate biometrics, and its employment is expanding globally. The use of portable iris systems, particularly in law enforcement applications, is growing. In many of these applications, the portable device may be required to transmit an iris image or template over a narrow-bandwidth communication channel. Typically, a full resolution image (e.g., VGA) is desired to ensure sufficient pixels across the iris to be confident of accurate recognition results. To minimize the time to transmit a large amount of data over a narrow-bandwidth communication channel, image compression can be used to reduce the file size of the iris image. In other applications, such as the Registered Traveler program, an entire iris image is stored on a smart card, but only 4 kB is allowed for the iris image. For this type of application, image compression is also the solution. This paper investigates the effects of image compression on recognition system performance using a commercial version of the Daugman iris2pi algorithm along with JPEG-2000 compression, and links these to image quality. Using the ICE 2005 iris database, we find that even in the face of significant compression, recognition performance is minimally affected.
Highlights
Iris recognition is gaining popularity as the method of choice for human identification in society today
We evaluate the effects of image compression on recognition using Joint Photographic Experts Group (JPEG)-2000 compression along with a commercial implementation of the Daugman recognition algorithm [5]
In many iris recognition algorithms, including the Daugman algorithm used in this research, two iris templates are compared using fractional Hamming distance (HD) as the measure of dissimilarity between two iris templates
Summary
Iris recognition is gaining popularity as the method of choice for human identification in society today. Since the standard iris image used for recognition is VGA-resolution (640 × 480, grayscale), it contains 307 kilobytes; significant compression would be required to fit a VGA iris image into 4 kilobytes. Applications of this nature serve as the primary motivation for this research. The images are all VGA resolution, 480 rows by 640 columns, with 8-bit grayscale resolution This database contains images with a wide range of visual quality; some images seem near perfect while others are very blurry, have iris that extend off the periphery of the image, contain significantly occluded irises, and/or have video interlace artifacts.
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