**Author details**

Hussein Samma1 \* and Shahrel Azmin Suandi2

1 Department of Computer Programming, Faculty of Education – Shabwa, University of Aden, Aden, Republic of Yemen

2 Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

\*Address all correspondence to: hussein.samma@yahoo.com

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

**93**

*Transfer Learning of Pre-Trained CNN Models for Fingerprint Liveness Detection*

Expert Systems with Applications.

[10] Wu Z et al. An adaptive deep transfer learning method for bearing fault diagnosis. Measurement.

[11] Raghu S et al. EEG based multiclass seizure type classification using convolutional neural network and transfer learning. Neural Networks.

[12] Liu Y et al. Similarity-based

[13] Mao W et al. Online detection for bearing incipient fault based on deep transfer learning. Measurement.

[14] Marcialis GL et al. First international fingerprint liveness detection competition—LivDet 2009. In: International Conference on Image Analysis and Processing. Springer; 2009

unsupervised deep transfer learning for remote sensing image retrieval. IEEE Transactions on Geoscience and Remote Sensing. 2020. pp: 1-18(Early Access)

2020;**142**:112975

2020;**151**:107227

2020;**124**:202-212

2020;**152**:107278

*DOI: http://dx.doi.org/10.5772/intechopen.93473*

[1] Gan Y. Facial expression recognition using convolutional neural network. In: Proceedings of the 2nd International Conference on Vision, Image and Signal

[2] Hu X et al. SINet: A scale-insensitive convolutional neural network for fast vehicle detection. IEEE Transactions on Intelligent Transportation Systems.

[3] Anthimopoulos M et al. Lung pattern

[4] Nogueira RF, de Alencar Lotufo R, Machado RC. Fingerprint liveness detection using convolutional neural networks. IEEE Transactions on Information Forensics and Security.

[5] Uliyan DM, Sadeghi S, Jalab HA. Anti-spoofing method for fingerprint recognition using patch based deep learning machine. Engineering Science and Technology, an International Journal. 2019;**23**(2):264-273

[6] Kho JB et al. An incremental learning method for spoof fingerprint detection. Expert Systems with Applications.

[7] Fei J et al. Adversarial attacks on fingerprint liveness detection. EURASIP Journal on Image and Video Processing.

[8] Rehman A et al. A deep learningbased framework for automatic brain tumors classification using transfer learning. Circuits, Systems, and Signal

[9] Sousa MJ, Moutinho A, Almeida M. Wildfire detection using transfer learning on augmented datasets.

Processing. 2020;**39**(2):757-775

classification for interstitial lung diseases using a deep convolutional neural network. IEEE Transactions on Medical Imaging. 2016;**35**(5):1207-1216

Processing. ACM; 2018

**References**

2018;**20**(3):1010-1019

2016;**11**(6):1206-1213

2019;**116**:52-64

2020;**2020**(1):1

*Transfer Learning of Pre-Trained CNN Models for Fingerprint Liveness Detection DOI: http://dx.doi.org/10.5772/intechopen.93473*
