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Writer identification using machine learning approaches: a comprehensive review
Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
Automatic visual features for writer identification: a deep learning approach
Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …
not new. No one can repudiate its applications in a number of domains, such as forensic …
Writer identification system for indic and non-indic scripts: State-of-the-art survey
Writer identification is a challenging move in the field of pattern recognition and reflects
advanced perceptions into the handwriting research. It is the process of determining the …
advanced perceptions into the handwriting research. It is the process of determining the …
[HTML][HTML] Visualization of customized convolutional neural network for natural language recognition
For analytical approach-based word recognition techniques, the task of segmenting the
word into individual characters is a big challenge, specifically for cursive handwriting. For …
word into individual characters is a big challenge, specifically for cursive handwriting. For …
Age, gender and handedness prediction using handwritten text: A comprehensive survey
Handwriting recognition is widely acknowledged as one of the most challenging tasks in
pattern recognition and machine learning. This study explores the intriguing field of age …
pattern recognition and machine learning. This study explores the intriguing field of age …
Forged document detection and writer identification through unsupervised deep learning approach
In recent years, there has been a significant increase in document forgery, which includes
the fraudulent replication of currency, diplomas, and works of art. This has become a major …
the fraudulent replication of currency, diplomas, and works of art. This has become a major …
Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset
In modern societies, handwritten identification is a great practical need and challenge for
forensic sciences. Moreover, few research studies have focused on automatic offline …
forensic sciences. Moreover, few research studies have focused on automatic offline …
Gender classification based on handwriting using Gurmukhi characters and hybrid feature extraction techniques
Gender classification using one or more features has emerged as a promising solution to
issues in fields such as criminal and forensic examinations. However, predicting an …
issues in fields such as criminal and forensic examinations. However, predicting an …
Transfer and Deep Learning‐Based Gurmukhi Handwritten Word Classification Model
The world is having a vast collection of text with abandon of knowledge. However, it is a
difficult and time‐taking process to manually read and recognize the text written in numerous …
difficult and time‐taking process to manually read and recognize the text written in numerous …
Personality Prediction and Handwriting Recognition Using Machine Learning
Personality analysis and identification of writer depend on handwriting samples that were in
place of graphologist online tool that can be useful. Graphology is the subconscious thinking …
place of graphologist online tool that can be useful. Graphology is the subconscious thinking …