A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
This paper reviews the fingerprint classification literature looking at the problem from a
double perspective. We first deal with feature extraction methods, including the different …
double perspective. We first deal with feature extraction methods, including the different …
Low‐quality fingerprint classification using deep neural network
P Tertychnyi, C Ozcinar, G Anbarjafari - IET Biometrics, 2018 - Wiley Online Library
Fingerprint recognition systems mainly use minutiae points information. As shown in many
previous research works, fingerprint images do not always have good quality to be used by …
previous research works, fingerprint images do not always have good quality to be used by …
Activity recognition based on wearable sensors using selection/fusion hybrid ensemble
Activity recognition with mobile sensors is a challenging task due to the inherent noisy
nature of the input data and resource limitations of the target platform. This paper presents a …
nature of the input data and resource limitations of the target platform. This paper presents a …
Combining localized fusion and dynamic selection for high-performance SVM
To resolve class-ambiguity in real world problems, we previously presented two different
ensemble approaches with support vector machines (SVMs): multiple decision templates …
ensemble approaches with support vector machines (SVMs): multiple decision templates …
[PDF][PDF] Low-quality Fingerprint Classification
P Tertychnyi - core.ac.uk
Fingerprint recognition systems mainly use minutiae points information. As shown in many
previous research works, fingerprint images do not always have good quality to be used by …
previous research works, fingerprint images do not always have good quality to be used by …
[PDF][PDF] Multi-Instance Fingerprint Classification based on Global Features
D Fischer - 2018 - dasec.h-da.de
Fingerprints are one of the most used biometric characteristics. They are used in a wide
range of applications, as the identification of subjects within a database. Therefore, the …
range of applications, as the identification of subjects within a database. Therefore, the …
[引用][C] A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models
[引用][C] 착용식센서기반컴퓨터인터페이스의효과적적용을위한지역인식모델생성및확률적선택
민준기， 조성배 - 한국HCI 학회학술대회, 2011 - dbpia.co.kr
착용식 센서기반 컴퓨터 인터페이스의 효과적 적용을 위한 지역인식모델 생성 및 확률적 선택 Page
1 착용식 센서기반 컴퓨터 인터페이스의 효과적 적용을 위한 지역인식모델 생성 및 확률적 선택 …
1 착용식 센서기반 컴퓨터 인터페이스의 효과적 적용을 위한 지역인식모델 생성 및 확률적 선택 …
[引用][C] Low quality fingerprint classification using deep neural network
A Gholamreza, P Tertychnyi, Ç Özçınar - 2018