Praveen Chandar, Yasaman Khazaeni, et al.
INTERACT 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.
Praveen Chandar, Yasaman Khazaeni, et al.
INTERACT 2017
Hagen Soltau, Lidia Mangu, et al.
ASRU 2011
Atsuyoshi Nakamura, Naoki Abe
Electronic Commerce Research
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CHI EA 2002