At the frontier of research, this book offers complete coverage of human ear recognition. It explores all aspects of 3D ear recognition: representation, detection, recognition, indexing and performance prediction. It uses large datasets to quantify and compare the performance of various techniques. Features and topics include: Ear detection and recognition in 2D image; 3D object recognition and 3D biometrics; 3D ear recognition; Performance comparison and prediction.
Publisher: Springer London Ltd
Number of pages: 206
Weight: 497 g
Dimensions: 235 x 155 x 14 mm
Edition: 2008 ed.
From the reviews:
"`Human ear [recognition] is a new class of relatively stable biometrics,' that has drawn the attention of not only researchers, but also forensics experts, criminologists, and security experts ... . the book will be of great interest to researchers ... . I recommend reading the book as a stepping stone to further research work on human ear recognition, from the viewpoints of both researchers and forensics experts." (J. Myerson, ACM Computing Reviews, December, 2008)
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