Ali Alper Demir- Phd
- Research Assistant at Süleyman Demirel University
Ali Alper Demir
- Phd
- Research Assistant at Süleyman Demirel University
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9
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Publications (9)
In this study, using a fingertips pulse measurement PIC 16F877 microcontroller, the circuit is designed. The microcontroller calculates the number of pulse according to the codes and 3 digit seven segment indicates the value of the pulse. Owing to post the contents of the program, the average heart rate at the end of 10 seconds was screened exactly...
Text line segmentation is one of the essential stages of historical document analysis applications. The accuracy of text line segmentation affects directly the success of following document analysis steps. For printed documents, lossless text line segmentation can be done readily. But, for handwritten documents, unfortunately it is still a challeng...
In document analysis and recognition applications, segmenting the text lines accurately is a crucial step. Text line segmentation in handwritten documents is still a challenging task because of numerous factors that can decrease the segmentation accuracy. In this work, generative adversarial networks are proposed to segment the text lines in handwr...
Ottoman archives contain an extensive collection of documents; however, their utilization remains limited due to labor-intensive manual keyword searches and the small number of individuals capable of reading Ottoman. In this study, an object detection-based approach is proposed for the detection and recognition of characters in Ottoman handwritten...
Text line segmentation (TLS) is an essential step of the end-to-end document analysis systems. The main purpose of this step is to extract the individual text lines of any handwritten documents with high accuracy. Handwritten and historical documents mostly contain touching and overlapping characters, heavy diacritics, footnotes and side notes adde...
In this study, a deep learning-based method is developed for character detection and recognition in printed Ottoman documents. The character detection and recognition problem are considered as an object detection problem and for this purpose, an Ottoman character recognition model is developed based on the YOLO model, which is one of the most succe...
Metin satırı bölütlemesi optik karakter tanıma sistemlerindeki en önemli aşamalardan biridir. İyi bir tanıma oranı elde edilebilmesi için metin satırları yüksek doğrulukla
bölütlenmelidir. Örtüşen ve temas eden karakterlerin doğru bir şekilde ayrılması bölütleme ve tanıma başarısını artırmaktadır. Bu amaçla örtüşen veya temas eden rakamların bölütl...
Text line segmentation is one of the essential stages of historical document analysis applications. The accuracy of text line segmentation affects directly the success of following document analysis steps. For printed documents, lossless text line segmentation can be done readily. But, for handwritten documents, unfortunately it is still a challeng...
