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Byron B. Han
Researcher at Apple Inc.
Publications - 32
Citations - 979
Byron B. Han is an academic researcher from Apple Inc.. The author has contributed to research in topics: Fingerprint (computing) & Fingerprint recognition. The author has an hindex of 13, co-authored 32 publications receiving 979 citations.
Papers
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Patent
Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs
Byron B. Han,Matthew E. Shepherd,Imran Chaudhri,Gregory N. Christie,Patrick L. Coffman,Craig M. Federighi,Gamble Matthew H,Brittany D. Hughes,Brendan J. Langoulant,Craig A. Marciniak,Donald W. Pitschel,Daniel O. Schimpf,Andrew R. Whalley,Christopher R. Whitney,Jonathan R. Dascola,Lawrence Y. Yang +15 more
TL;DR: In this paper, an electronic device with a display and a fingerprint sensor displays a fingerprint enrollment interface and detects, on the fingerprint sensor, a plurality of finger gestures performed with a finger.
Patent
Storage volume handling system which utilizes disk images
TL;DR: In this article, the authors use disk images to emulate storage volumes for the distribution of computer software, where the data in the image file can be compressed in a manner such that a storage volume being emulated appears to be of a specified size, while actually requiring less space to store its contents.
Patent
Fingerprint Sensing and Enrollment
TL;DR: In this paper, a sequence of biometric data images is received, such as a series of fingerprint images, and a set of images images is selected from the sequence of images.
Patent
Enrollment Using Synthetic Fingerprint Image and Fingerprint Sensing Systems
Byron B. Han,Craig A. Marciniak +1 more
TL;DR: A fingerprint sensing system as mentioned in this paper consists of at least one sensor, one display device, and one secure enclave processor (SENP) for each node in the fingerprint set, where the fingerprint data is sent to the SENP for decoding.
Patent
Using biometric verification to grant access to redacted content
TL;DR: In this article, the content redaction engine determines whether to redact content for output based on whether a user is biometrically verified, and if the user is verified, the content must be shown with at least a portion redacted.