Ensembles of multi-scale VGG acoustic models
Michael Heck, Masayuki Suzuki, et al.
INTERSPEECH 2017
A proposed man-machine system for encoding fingerprint ridge characteristics is described. The fundamental concept underlying the proposed system is to use an operator to recognize the ridge characteristics and to impart to a computer the ability to manipulate and compare the digitized locations and directions of these characteristics for single-fingerprint classification. The proposed system and encoding schemes were simulated using a RAND tablet and an IBM 1800 computer. Sample input prints were encoded and stored on a magnetic tape. Experimental results on human factors and multiple-impression file searches illustrate the feasibility of computer-assisted fingerprint encoding and classification. Copyright © 1970 by The Institute of Electrical and Electronics Engineers, Inc.
Michael Heck, Masayuki Suzuki, et al.
INTERSPEECH 2017
Luís Henrique Neves Villaça, Sean Wolfgand Matsui Siqueira, et al.
SBSI 2023
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IUI 2023
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AAAI 2024