This paper proposes a novel offline text-independent writer identification method based on
scale invariant feature transform (SIFT), composed of training, enrollment, and identification …

This paper presents a review on the state of the art in offline text-independent writer
identification methods for three major languages, namely English, Chinese and Arabic …

This paper presents a fast and efficient method for classifying X-ray images using random
forests with proposed local wavelet-based local binary pattern (LBP) to improve image …

Writer identification determines the writer of one document among a number of known
writers where at least one sample is known. Writer retrieval searches all documents of one …

Breast cancer is one of the common reasons for deaths of women over the globe. It has
been found that a Computer-Aided Diagnosis (CAD) system can be designed using X-ray …

This paper presents a new flexible approach to predict the gender of the writers from their
handwriting samples. Handwriting features like slant, curvature, line separation, chain code …

Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture
classification. By adapting and extending the standard LBP operator to the particularities of …

Digitization of historical manuscripts from premodern eras, has captivated the document
analysis and pattern recognition community in recent years. Estimation of the period of …

A method to writer verification based on handwritten stroke analysis is presented. The
proposed descriptors correspond to an estimation of the pressure applied when writing …

Mammogram classification is a crucial and challenging problem, because it helps in early
diagnosis of breast cancer and supports radiologists in their decision to analyze similar …