This paper presents a comprehensive test of the principal tasks in document image analysis
(DIA), starting with binarization, text line segmentation, and isolated character/glyph …

Wide range of applications and numerous other complexities involved in character
recognition makes it a continuous and open area of research. Optical Character Recognition …

The complexity of Balinese script and the poor quality of palm leaf manuscripts provide a
new challenge for testing and evaluation of robustness of feature extraction methods for …

Balinese ancient palm leaf manuscripts record many important knowledges about world
civilization histories. They vary from ordinary texts to Bali's most sacred writings. In reality …

Accuracy in handwritten character recognition system is a challenge in the area of pattern
recognition because of a variety of writing styles. Eigenface is a method that has been …

Optical Character Recognition (OCR) of handwritten text is still a challenging research area
due to different writing styles of different individuals. Character recognition helps in …

An optical character recognition (OCR) system is a type of software that can automatically
analyse printed text and turn it into a form that a computer can process. Feature extraction is …

Accuracy in handwritten character recognition system is a challenge in the area of pattern
recognition because of a variety of writing styles. Eigenface is a method that has been …