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E-raamat: Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II

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This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.





The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:





Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.





Part II: biometrics; handwriting and document analysis; other applications.
Biometrics.- What is the Role of Annotations in the Detection of
Dermoscopic Structures?.- Keystroke Mobile Authentication: Performance of
LongTerm Approaches and Combination with Behavioral-based Profiling.-
Incremental Learning Techniques within a Self-updating Approach for Face
Verification in Video-Surveillance.- Dont You Forget About Me: A Study on
Long-Term Performance in ECG Biometrics.- Face Identification using Local
Ternary Tree Pattern based Spatial Structural Components.- Catastrophic
interference in Disguised Face Recognition.- Iris Center Localization Using
Geodesic Distance and CNN.- Low-Light Face Image Enhancement based on Dynamic
Face Part Selection.- Retinal Blood Vessel Segmentation: A semi-supervised
approach.- Quality-based rPPG Heart Rate Estimation System for Driver
Monitoring Using NIR Video Sequences.- Handwriting and Document Analysis.-
Multi-Task Layout Analysis of Handwritten Musical Scores.- Domain Adaptation
for Handwritten Symbol Recognition: A Case of Study in Old Music
Manuscripts.- Approaching End-to-End Optical Music Recognition for Homophonic
Scores.- Glyph and Position Classification of Music Symbols in Early Music
Manuscripts.- Recognition of Arabic Handwritten Literal Amounts Using Deep
Convolutional Neural Networks.- Offline Signature Verification using Textural
Descriptors.- Pencil drawing of microscopic images through edge preserving
filtering.- Line Segmentation Free Probabilistic Keyword Spotting and
Indexing.- Other Applications.- Incremental Learning for Football Match
Outcomes Prediction.- Frame by Frame Pain Estimation Using Locally Spatial
Attention Learning.- Mosquito Larvae Image Classification based on DenseNet
and Guided Grad-CAM.- Towards Automatic Rat's Gait Analysis Under Suboptimal
Illumination Conditions.- Impact of Enhancement for Coronary Artery
Segmentation Based on Deep Learning Neural Network.- Real-Time Traffic
Monitoring with Occlusion Handling.- Image based estimation of fruit
phytopathogenic lesions area.- A weakly-supervised approach for discovering
common objects in airport video surveillance footage.- Standard Plenoptic
Camera Calibration for a Range of Zoom and Focus Levels.- Going back to
basics on volumetric segmentation of the lungs in CT: a fully image
processing based technique.- Radiogenomics: Lung Cancer-Related Genes
Mutation Status Prediction.- Learning to perform visual tasks from human
demonstrations.- Serious Game Controlled by a Human-Computer Interface for
Upper Limb Motor Rehabilitation: A Feasibility Study.- Weapon detection for
particular scenarios using deep learning.- Hierarchical Deep Learning
Approach for Plant Disease Detection.- An artificial vision based method for
vehicle detection and classification in urban traffic.- Breaking Text-based
CAPTCHA with Sparse Convolutional Neural Networks.- Image processing method
for epidermal cells detection and measurement in Arabidopsis thaliana
leaves.- User Modeling on Mobile Device based onFacial Clustering and Object
Detection in Photos and Videos.- Gun and knife detection based on Faster
R-CNN for video surveillance.- Painted Injection Moulded Part Surfaces.- A
New Automatic Cancer Colony Forming Units Counting Method.- Deep Vesselness
Measure from scale-space analysis of Hessian Matrix Eigenvalues.-
Segmentation in Corridor Environments: Combining door and ceiling detection.-
Development of a Fire Detection based on the Analysis of Video Data by means
of Convolutional Neural Networks.- Towards automatic and robust particle
tracking in microrheology studies.- Study of the impact of pre-processing
applied to images acquired by the Cygno Experiment.