Facebook, Inc.

Moqi Inc.

Moqi Technology (beijing) Co., Ltd.

Linpeng Tang

Qi Huang

Cheng Tai

Wyatt Andrew Lloyd

Bo Liu

Wei Hu

Jana Van Greunen

Feng Kang

Huapeng Zhou

A device and a method for contactless fingerprint acquisition is provided. The contactless fingerprint acquisition device includes a housing including a finger scanning area for at least one finger; at least two image capturing devices located in the housing and arranged in a predetermined baseline distance, each image capturing device having an optical axis in a predetermined angle with the vertical direction; and, a lighting unit in the housing for illuminating the at least one finger. The at least two image capturing devices are operable to acquire a plurality of partial fingerprint images of the at least one finger, and the plurality of partial fingerprint images correspond to different portions of the at least one finger.

Device and method for contactless fingerprint acquisition

Fingerprint matching may include one or more of the following techniques. Space-frequency representations are adaptively computed for one or more fingerprint images. Key feature points of the fingerprint images are automatically extracted. Mesoscopic features are extracted based on the key feature points and the space-frequency representations. Fingerprint images are matched against a database of known fingerprint images using a matching algorithm based on the key points and mesoscopic features of the fingerprint images. Deep neural networks may be used for some or all of these steps.

System and method for fingerprint recognition

Several embodiments include a method of operating a cache appliance comprising a primary memory implementing an item-wise cache and a secondary memory implementing a block cache. The cache appliance can emulate item-wise storage and eviction in the block cache by maintaining, in the primary memory, sampling data items from the block cache. The sampled items can enable the cache appliance to represent a spectrum of retention priorities. When storing a pending data item into the block cache, a comparison of the pending data item with the sampled items can enable the cache appliance to identify where to insert a block containing the pending data item. When evicting a block from the block cache, a comparison of a data item in the block with at least one of the sampled items can enable the cache appliance to determine whether to recycle/retain the data item.

Item-wise simulation in a block cache where data eviction places data into comparable score in comparable section in the block cache

Embodiments are disclosed for implementing a priority queue in a storage device, e.g., a solid state drive. At least some of the embodiments can use an in-memory set of blocks to store items until the block is full, and commit the full block to the storage device. Upon storing a full block, a block having a lowest priority can be deleted. An index storing correspondences between items and blocks can be used to update priorities and indicated deleted items. By using the in-memory blocks and index, operations transmitted to the storage device can be reduced.

Implementing advanced caching

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Princeton, NJ, United States of America

Linpeng Tang