An improved faster-RCNN model for handwritten character recognition
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 …
key points and requires prior knowledge. Training an efficient HDR network with these …
A novel technique for handwritten digit recognition using deep learning
Handwritten digit recognition (HDR) shows a significant application in the area of
information processing. However, correct recognition of such characters from images is a …
information processing. However, correct recognition of such characters from images is a …
[PDF][PDF] Skew correction for mushaf Al-Quran: a review
SS Bafjaish, MS Azmi… - … Journal of Electrical …, 2020 - pdfs.semanticscholar.org
Skew correction has been studied a lot recently. However, the content of skew correction in
these studies is considered less for Arabic scripts compared to other languages. Different …
these studies is considered less for Arabic scripts compared to other languages. Different …
[PDF][PDF] Skew detection and correction of Mushaf Al-Quran script using Hough transform
Document skew detection and correction is mainly one of base preprocessing steps in the
document analysis. Correction of the skewed scanned images is critical because it has a …
document analysis. Correction of the skewed scanned images is critical because it has a …
Data normalization for triangle features by adapting triangle nature for better classification
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 …
detection and digit recognition. Features from the triangle are used to generate useful …
Offline handwritten digit recognition using triangle geometry properties
Offline digit handwritten recognition is one of the frequent studies that is being explored
nowadays. Most of the digit characters have their own handwriting nature. Recognizing their …
nowadays. Most of the digit characters have their own handwriting nature. Recognizing their …
[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering
AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
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 …
lot of the researchers' attention in the recent few years. As a proven powerful machine …
Kerangka Tashih Mushaf al-Quran Digital: Pendekatan Pengecaman Corak: Framework of Digital Tashih Mushaf Al-Quran: Pattern Recognition Approach
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 …
Therefore, any re-publication manuscripts of the Koran requires the approval from the Board …
[PDF][PDF] Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition
Geometric object especially triangle geometry has been widely used in digit recognition
area. The triangle geometry properties have been implemented as the triangle features …
area. The triangle geometry properties have been implemented as the triangle features …
[PDF][PDF] Enhancement of Triangle Coordinates For Triangle Features For Better Classification
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 …
as a part of the features. Most of the studies in digit recognition area which applied these …