Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

Handwritten digit recognition (HDR) shows a significant application in the area of
information processing. However, correct recognition of such characters from images is a …

Many variations of local binary pattern (LBP) were proposed to enhance its performance,
including uniform local binary pattern (ULBP), center-symmetric local binary patterns (CS …

In this paper, we present a system for handwriting digit recognition using different invariant
features extraction and multiple classifiers. In the feature extraction we use four types …

Abstract Monitoring mushaf Al-Quran is essential to maintain the sanctity of the Al-Quran.
Therefore, any re-publication manuscripts of the Koran requires the approval from the Board …

Extraction of feature and classification methods are important phases in recognition system.
A good classifier and extraction of features that suits play a very important role in a …

Handwriting evidence is a valuable source for authorship identification, an important aspect
in investigating crimes such as murder, suicide, illegal drug trafficking, kidnapping, and …

The geometrical form such as polygon shape can be used to represent object image via
their geometrical properties. The geometry shapes such as polygon including rectangles …

مساله بازشناسی خودکار محتوای دستنوشتهها، همواره مورد توجه بسیاری از محققان بوده است. در این
مقاله، یک سیستم ترکیبی برای افزایش دقت تشخیص ارقام دستنویس فارسی ارائه شده است …‎

The problem of automatic handwritten context recognition has received considerable
attention of many researchers. In this paper, a fusion system is proposed to enhance the …