Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …

Character recognition for cursive script like Arabic, handwritten English and French is a
challenging task which becomes more complicated for Urdu Nasta'liq text due to complexity …

Face recognition from an image/video has been a fast‐growing area in research community,
and a sizeable number of face recognition techniques based on texture analysis have been …

Invariant descriptor for shape and texture image recognition usage is an essential branch of
pattern recognition. It is made up of techniques that aim at extracting information from shape …

One of the major developments in machine learning in the past decade is the ensemble
method, which finds highly accurate classifier by combining many moderately accurate …

The growing relevance of printed and digitalized hand-written characters has necessitated
the need for convalescent automatic recognition of characters in Optical Character …

Multi-dimension robot vision in autonomous humanoid robot is still an open issue as it
performs less effective when dealing with different environments. Robot vision becomes …

The aim of this research is to enhance a Peak signal Noise Ratio based thresholding
algorithm. Thresholding is a critical step in pattern recognition and has a significant effect on …

Recent advancements in data acquisition, storage, and computing power have enabled
scientists from various scientific and engineering domains to simulate more complex and …

Optical character recognition (OCR) is one of the most important fields in pattern recognition
world which is able to recognize handwritten characters, irregular characters and machine …