Biometrics and Pattern Recognition

The scope of Pattern Recognition (PR) includes pattern classification (statistical and structural PR, neural networks, kernel methods, ensemble methods, etc.), clustering, feature extraction and selection, data pre-processing (such as image processing and segmentation), visual object recognition, video analysis, applications in document analysis, biometrics, medical imaging, remote sensing image analysis, multimedia, video surveillance, intelligent transportation, and so on. Methods and applications have both seen tremendous advances in recent years. For example, deep learning methods have boosted performance in many fields such as handwriting recognition, facial recognition, speech recognition, traffic sign recognition, and so on.

Topics of interest include, but not limited to:

PATTERN RECOGNITION AND MACHINE LEARNING

Statistical, syntactic and structural pattern recognition

Machine learning and data mining

Artificial neural networks

Dimensionality reduction and manifold learning

Classification and clustering

Representation and analysis in pixel/voxel images

Support vector machines and kernel methods

Symbolic learning

Active and ensemble learning

Deep learning

Transfer learning

Semi-supervised learning and spectral methods

Model selection

Reinforcement learning and temporal models

SIGNAL PROCESSING (SIGNAL, SPEECH, IMAGE)

Signal and image processing

Image analysis and understanding

Audio and acoustic processing and analysis

Spoken language processing

Sensor array & multichannel signal processing

Segmentation, features and descriptors

Texture and color analysis

Enhancement, restoration and filtering

Coding, compression and super-resolution

Automatic speech and speaker recognition

MEDIA PROCESSING AND INTERACTION (VIDEO, DOCUMENT, MEDICAL, BIOMETRICS, HCI AND VR)

Pattern Recognition for Bioinformatics

Pattern Recognition for Surveillance and Security

Pattern Recognition for Search, Retrieval and Visualization

Pattern Recognition for Art, Cultural Heritage and Entertainment

Industrial image analysis

Gesture and Behavior Analysis

Mixed and Augmented Reality

Human Computer Interaction

Character and Text Recognition

Handwriting Recognition

Document Understanding

Medical image and signal analysis

Computer-aided detection and diagnosis

Human computer interaction

Speech and natural language based interaction

Journal is open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. We combine open access and expertise in delivering high-quality and rapid publications, from online indexing and in-depth peer review to an efficient, author-friendly production process.

ISSN 1947-5500 IJCSIS, USA.