Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …

There are a lot of intensive research on character and numeral recognition for some of
popular scripts such as Roman, Arabic, Persian/Farsi, Chinese and Indian. Unfortunately …

Handwritten numeral recognition is one of the traditional dilemma in pattern recognition
domain, and is widely used in different applications such as reading postal codes, bank …

Offline signature verification (OSV) and identification systems have been used to identify
individuals. It has become a significant task to validate the authenticity of forensic and …

Geometry features especially triangle has been widely used in face, fingerprint, vehicle
detection and digit recognition. Features from the triangle are used to generate useful …

Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

Text line segmentation is an important step in document image processing. Its part of the pre-
processing stage to prepared the images before throughout either feature extraction or …

Geometric object especially triangle geometry has been widely used in digit recognition
area. The triangle geometry properties have been implemented as the triangle features …

Recently, the triangle features have been applied in digit recognition by adopting the angle
as a part of the features. Most of the studies in digit recognition area which applied these …

This paper presents the framework of page segmentation for Mushaf Al-Quran based on
Multiphase Level Segmentation (MLS). This study focuses to (a) extract multiform frame …